{
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   "source": [
    "\n",
    "# Variogram Calculation in Python for Engineers and Geoscientists \n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "\n",
    "#### Contacts: [Twitter/@GeostatsGuy](https://twitter.com/geostatsguy) | [GitHub/GeostatsGuy](https://github.com/GeostatsGuy) | [www.michaelpyrcz.com](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446)\n",
    "\n",
    "This is a tutorial for / demonstration of **spatial variogram calculation in Python with simple wrappers and reimplementations of GSLIB: Geostatistical Library methods** (Deutsch and Journel, 1997). Variogram calculation is a valuable method for quantifying spaital continuity.  We can interpret the resulting experimental variograms and then infer valid variogram models for use with spatial estimation and simulation.  \n",
    "\n",
    "We will demonstration calculation of variograms on regular and irregular spaced data.  \n",
    "\n",
    "This exercise demonstrates the cell-based declustering approach in Python with wrappers and reimplimentation of GSLIB methods.  The steps include:\n",
    "\n",
    "1. generate a 2D sequential Guassian simulation using a wrapper of GSLIB's sgsim method\n",
    "2. calculatate the variogram map and anisotropic experimental variograms in the x and y directions with gam\n",
    "3. visualize the experimental variograms\n",
    "4. fit a positive definite variogram model with nested know licit variogram structures\n",
    "5. resample to form a nonuniformaly sampled dataset\n",
    "6. calculate the variogram map, isotropic and directional experimental variograms with gamv\n",
    "7. fit a positive definite variogram model with nested know licit variogram structures\n",
    "\n",
    "To accomplish this I have provide wrappers or reimplementation in Python for the following GSLIB methods:\n",
    "\n",
    "1. sgsim - sequantial Gaussian simulation limited to 2D and unconditional\n",
    "2. hist - histograms plots reimplemented with GSLIB parameters using python methods\n",
    "3. locmap - location maps reimplemented with GSLIB parameters using python methods\n",
    "4. pixelplt - pixel plots reimplemented with GSLIB parameters using python methods\n",
    "5. locpix - my modification of GSLIB to superimpose a location map on a pixel plot reimplemented with GSLIB parameters using Python methods\n",
    "5. affine - affine correction adjust the mean and standard deviation of a feature reimplemented with GSLIB parameters using Python methods\n",
    "6. varmap - vairogram map\n",
    "7. gam -regularly sampled data variograms\n",
    "8. gamv - irregularly sampled data variograms\n",
    "9. nscore - normal score transform (data transformation to Gaussian with a mean of zero and a standard deviation of one)\n",
    "\n",
    "These methods are all in the functions declared upfront. To run this demo all one has to do is download and place in your working directory the following executables from the GSLIB/bin directory:\n",
    "\n",
    "1. sgsim.exe\n",
    "2. declus.exe\n",
    "3. nscore.exe\n",
    "4. gam.exe\n",
    "5. gamv.exe\n",
    "6. varmap.exe\n",
    "\n",
    "The GSLIB source and executables are available at http://www.statios.com/Quick/gslib.html.  For the reference on using GSLIB check out the User Guide, GSLIB: Geostatistical Software Library and User's Guide by Clayton V. Deutsch and Andre G. Journel.\n",
    "\n",
    "I did this to allow people to use these GSLIB functions that are extremely robust in Python. Also this should be a bridge to allow so many familar with GSLIB to work in Python as a kept the parameterization and displays consistent with GSLIB.  The wrappers are simple functions declared below that write the parameter files, run the GSLIB executable in the working directory and load and visualize the output in Python. This will be included on GitHub for anyone to try it out https://github.com/GeostatsGuy/.  \n",
    "\n",
    "I used this tutorial in my Introduction to Geostatistics undergraduate class (PGE337 at UT Austin) as part of a first introduction to geostatistics and Python for the engineering undergraduate students. It is assumed that students have no previous Python, geostatistics nor machine learning experience; therefore, all steps of the code and workflow are explored and described. This tutorial is augmented with course notes in my class.  The Python code and markdown was developed and tested in Jupyter. \n",
    "\n",
    "#### Load the required libraries\n",
    "\n",
    "The following code loads the required libraries.\n"
   ]
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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   "source": [
    "import os                                                 # to set current working directory \n",
    "import numpy as np                                        # arrays and matrix math\n",
    "import pandas as pd                                       # DataFrames\n",
    "import matplotlib.pyplot as plt                           # plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you get a package import error, you may have to first install some of these packages. This can usually be accomplished by opening up a command window on Windows and then typing 'python -m pip install [package-name]'. More assistance is available with the respective package docs.  \n",
    "\n",
    "#### Declare functions\n",
    "\n",
    "Here are the wrappers and reimplementations of GSLIB method along with 4 utilities to move between GSLIB's Geo-EAS data sets and DataFrames, and grids and 2D Numpy arrays respectively and 2 utilities to resample from regular datasets.  Available GSLIB functions include:\n",
    "\n",
    "1. hist\n",
    "2. pixelplt\n",
    "3. locmap\n",
    "4. locpix\n",
    "5. vargplt\n",
    "6. affine\n",
    "7. nscore\n",
    "8. declus\n",
    "9. gam\n",
    "10. gamv\n",
    "11. vmodel\n",
    "12. sgsim\n",
    "\n",
    "For now we embed the functions in the workflow below. In the future this will be turned into a proper Python package.  Warning, there has been no attempt to make these functions robust in the precense of bad inputs.  If you get a crazy error check the inputs.  Are the arrays empty and are they the same size when they should be?  Are the arrays the correct dimension?  Is the parameter order mixed up?  Make sure the inputs are consistent with the descriptions in this document."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# utility to convert GSLIB Geo-EAS files to a pandas DataFrame for use with Python methods\n",
    "def GSLIB2Dataframe(data_file):\n",
    "    import os\n",
    "    import numpy as np  \n",
    "    import pandas as pd\n",
    "\n",
    "    colArray = []\n",
    "    with open(data_file) as myfile:   # read first two lines\n",
    "        head = [next(myfile) for x in range(2)]\n",
    "        line2 = head[1].split()\n",
    "        ncol = int(line2[0])\n",
    "        for icol in range(0, ncol):\n",
    "            head = [next(myfile) for x in range(1)]\n",
    "            colArray.append(head[0].split()[0])\n",
    "        data = np.loadtxt(myfile, skiprows = 0)\n",
    "        df = pd.DataFrame(data)\n",
    "        df.columns = colArray\n",
    "        return df\n",
    "\n",
    "# utility to convert pandas DataFrame to a GSLIB Geo-EAS file for use with GSLIB methods\n",
    "def Dataframe2GSLIB(data_file,df):\n",
    "    colArray = []\n",
    "    colArray = df.columns\n",
    "    ncol = len(df.columns) \n",
    "    nrow = len(df.index)\n",
    "    file_out = open(data_file, \"w\")\n",
    "    file_out.write(data_file + '\\n')  \n",
    "    file_out.write(str(ncol) + '\\n') \n",
    "    for icol in range(0, ncol): \n",
    "        file_out.write(df.columns[icol]  + '\\n')  \n",
    "    \n",
    "    for irow in range(0, nrow):\n",
    "        for icol in range(0, ncol):\n",
    "            file_out.write(str(df.iloc[irow,icol])+ ' ')  \n",
    "        file_out.write('\\n')\n",
    "\n",
    "    file_out.close()       \n",
    "\n",
    "# utility to convert GSLIB Geo-EAS files to a numpy ndarray for use with Python methods\n",
    "def GSLIB2ndarray(data_file,kcol,nx,ny):\n",
    "    import os\n",
    "    import numpy as np  \n",
    "\n",
    "    colArray = []\n",
    "    if ny > 1:\n",
    "        array = np.ndarray(shape=(ny,nx),dtype=float,order='F')\n",
    "    else:\n",
    "        array = np.zeros(nx)\n",
    "        \n",
    "    with open(data_file) as myfile:   # read first two lines\n",
    "        head = [next(myfile) for x in range(2)]\n",
    "        line2 = head[1].split()\n",
    "        ncol = int(line2[0])          # get the number of columns\n",
    "        for icol in range(0, ncol):   # read over the column names\n",
    "            head = [next(myfile) for x in range(1)]\n",
    "            if icol == kcol:\n",
    "                col_name = head[0].split()[0]\n",
    "        for iy in range(0,ny):\n",
    "            for ix in range(0,nx):\n",
    "                head = [next(myfile) for x in range(1)]\n",
    "                array[ny-1-iy][ix] = head[0].split()[kcol]\n",
    "    return array,col_name\n",
    "\n",
    "# utility to convert numpy ndarray to a GSLIB Geo-EAS file for use with GSLIB methods   \n",
    "def ndarray2GSLIB(array,data_file,col_name):\n",
    "    file_out = open(data_file, \"w\")\n",
    "    file_out.write(data_file + '\\n')  \n",
    "    file_out.write('1 \\n')  \n",
    "    file_out.write(col_name  + '\\n') \n",
    "    if array.ndim == 2:\n",
    "        ny = (array.shape[0])\n",
    "        nx = (array.shape[1])\n",
    "        ncol = 1\n",
    "        for iy in range(0, ny):\n",
    "            for ix in range(0, nx):\n",
    "                file_out.write(str(array[ny-1-iy,ix])+ '\\n')        \n",
    "    elif array.ndim == 1:\n",
    "        nx = len(array)        \n",
    "        for ix in range(0, nx):\n",
    "            file_out.write(str(array[ix])+ '\\n')             \n",
    "    else:       \n",
    "        Print(\"Error: must use a 2D array\")            \n",
    "        file_out.close()\n",
    "        return            \n",
    "    file_out.close()\n",
    "    \n",
    "# histogram, reimplemented in Python of GSLIB hist with MatPlotLib methods\n",
    "def hist(array,xmin,xmax,log,cumul,bins,weights,xlabel,title):\n",
    "    plt.figure(figsize=(8,6))\n",
    "    cs = plt.hist(array, alpha = 0.2, color = 'red', edgecolor = 'black', bins=bins, range = [xmin,xmax], weights = weights, log = log, cumulative = cumul)\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel); plt.ylabel('Frequency')    \n",
    "    plt.show()\n",
    "    return\n",
    "   \n",
    "# pixel plot, reimplemention in Python of GSLIB pixelplt with MatPlotLib methods\n",
    "def pixelplt(array,xmin,xmax,ymin,ymax,step,vmin,vmax,title,xlabel,ylabel,vlabel,cmap):\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    plt.figure(figsize=(8,6))\n",
    "    im = plt.contourf(xx,yy,array,cmap=cmap,vmin=vmin,vmax=vmax,levels=np.linspace(vmin,vmax,100))\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    cbar = plt.colorbar(im,orientation = 'vertical',ticks=np.linspace(vmin,vmax,10))\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    plt.show()\n",
    "    return im\n",
    "\n",
    "# location map, reimplemention in Python of GSLIB locmap with MatPlotLib methods\n",
    "def locmap(df,xcol,ycol,vcol,xmin,xmax,ymin,ymax,vmin,vmax,title,xlabel,ylabel,vlabel,cmap):\n",
    "    ixy = 0 \n",
    "    plt.figure(figsize=(8,6))    \n",
    "    im = plt.scatter(df[xcol],df[ycol],s=None, c=df[vcol], marker=None, cmap=cmap, norm=None, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    plt.title(title)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)    \n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    cbar = plt.colorbar(im, orientation = 'vertical',ticks=np.linspace(vmin,vmax,10))\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    plt.show()\n",
    "    return im\n",
    "\n",
    "def vargplt(lag,gamma,npair,vtype,name,xmin,xmax,ymin,ymax,sill,title,cmap):\n",
    "    plt.figure(figsize=(8,6))\n",
    "    marker = [\"o\",\"v\",\"s\",\"h\",\"^\",\">\",\"<\"]\n",
    "    if vtype==0:\n",
    "        im = plt.scatter(lag,gamma,s=None, c=npair, marker=None, label = name,cmap=cmap, norm=None, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    else:\n",
    "        plt.plot(lag,gamma,'C3',lw=3,c='black')\n",
    "    ixy = 0 \n",
    "    plt.title(title)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)    \n",
    "    plt.xlabel('Lag Distance (m)')\n",
    "    plt.ylabel('Variogram')\n",
    "    plt.arrow(0,sill,xmax,0,width=0.002,color='red',head_length=0.0,head_width=0.0)\n",
    "    plt.legend(loc = 'lower right')\n",
    "    cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "    cbar.set_label('Number of Pairs', rotation=270, labelpad=20)\n",
    "    plt.show()\n",
    "    return im\n",
    "\n",
    "def vargplts(lag,gamma,npair,vtype,name,xmin,xmax,ymin,ymax,sill,title,cmap):\n",
    "    plt.figure(figsize=(8,6))\n",
    "    marker = [\"o\",\"v\",\"s\",\"h\",\"^\",\">\",\"<\"]\n",
    "    nvar = lags.shape[0]\n",
    "    for ivar in range(0, nvar):\n",
    "        if vtype[ivar]==0:\n",
    "            im = plt.scatter(lag[ivar],gamma[ivar],s=None,label = name[ivar],c=npair[ivar], marker=marker[ivar], cmap=cmap, norm=None, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "        else:\n",
    "            plt.plot(lag[ivar],gamma[ivar], 'C3', lw=3,c='black')\n",
    "    ixy = 0 \n",
    "    plt.title(title)\n",
    "    plt.xlim(xmin,xmax)\n",
    "    plt.ylim(ymin,ymax)    \n",
    "    plt.xlabel('Lag Distance (m)')\n",
    "    plt.ylabel('Variogram')\n",
    "    plt.arrow(0,sill,xmax,0,width=0.002,color='red',head_length=0.0,head_width=0.0)\n",
    "    plt.legend(loc = 'lower right')\n",
    "    cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "    cbar.set_label('Number of Pairs', rotation=270, labelpad=20)\n",
    "    plt.show()\n",
    "    return im\n",
    "\n",
    "# pixelplt with location map superimposed, reimplementation in Python of a MOD from GSLIB with MatPlotLib methods\n",
    "def locpix(array,xmin,xmax,ymin,ymax,step,vmin,vmax,df,xcol,ycol,vcol,title,xlabel,ylabel,vlabel,cmap):\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step)) \n",
    "    plt.figure(figsize=(8,6))\n",
    "    cs = plt.contourf(xx, yy, array, cmap=cmap,vmin=vmin, vmax=vmax, levels=np.linspace(vmin,vmax,100))\n",
    "    im = plt.scatter(df[xcol],df[ycol],s=None, c=df[vcol], marker=None, cmap=cmap, norm=None, vmin=vmin, vmax=vmax, alpha=0.8, linewidths=0.8, verts=None, edgecolors=\"black\")\n",
    "    plt.xlim(xmin,xmax-step)\n",
    "    plt.ylim(ymin+step,ymax) \n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    cbar = plt.colorbar(orientation = 'vertical',ticks=np.linspace(vmin,vmax,10))\n",
    "    cbar.set_label(vlabel, rotation=270, labelpad=20)\n",
    "    plt.show()\n",
    "    return cs\n",
    "\n",
    "# affine distribution correction reimplemented in Python with numpy methods \n",
    "def affine(array,tmean,tstdev):    \n",
    "    if array.ndim != 2:\n",
    "        Print(\"Error: must use a 2D array\")\n",
    "        return\n",
    "    nx = array.shape[0]\n",
    "    ny = array.shape[1]\n",
    "    mean = np.average(array)\n",
    "    stdev = np.std(array)\n",
    "    for iy in range(0,ny):\n",
    "        for ix in range(0,nx):\n",
    "             array[ix,iy]= (tstdev/stdev)*(array[ix,iy] - mean) + tmean  \n",
    "    return(array)            \n",
    "\n",
    "# normal score transform, wrapper for nscore from GSLIB (.exe must be in working directory)(not used in this demo)   \n",
    "def nscore(x):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    file = 'nscore_out.dat'\n",
    "    ndarray2GSLIB(x,\"nscore.dat\",\"value\")\n",
    "    \n",
    "    file = open(\"nscore.par\", \"w\")\n",
    "    file.write(\"                  Parameters for NSCORE                                    \\n\")\n",
    "    file.write(\"                  *********************                                    \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"nscore.dat           -file with data                                       \\n\")\n",
    "    file.write(\"1   0                    -  columns for variable and weight                \\n\")\n",
    "    file.write(\"-1.0e21   1.0e21         -  trimming limits                                \\n\")\n",
    "    file.write(\"0                        -1=transform according to specified ref. dist.    \\n\")\n",
    "    file.write(\"../histsmth/histsmth.out -  file with reference dist.                      \\n\")\n",
    "    file.write(\"1   2                    -  columns for variable and weight                \\n\")\n",
    "    file.write(\"nscore.out               -file for output                                  \\n\")\n",
    "    file.write(\"nscore.trn               -file for output transformation table             \\n\")\n",
    "    file.close()\n",
    "\n",
    "    os.system('nscore.exe nscore.par')\n",
    "    file_in = 'nscore.out'\n",
    "    y,name = GSLIB2ndarray('nscore.out',1,nx,ny)\n",
    "    return(y)\n",
    "\n",
    "# cell-based declustering, 2D wrapper for declus from GSLIB (.exe must be in working directory)\n",
    "def declus(df,xcol,ycol,vcol,cmin,cmax,cnum,bmin):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    nrow = len(df)\n",
    "    weights = []\n",
    "    file = 'declus_out.dat'\n",
    "    file_out = open(file, \"w\")\n",
    "    file_out.write('declus_out.dat' + '\\n')  \n",
    "    file_out.write('3' + '\\n')  \n",
    "    file_out.write('x' + '\\n') \n",
    "    file_out.write('y' + '\\n')\n",
    "    file_out.write('value' + '\\n')  \n",
    "    for irow in range(0, nrow):\n",
    "        file_out.write(str(df.iloc[irow][xcol])+' '+str(df.iloc[irow][ycol])+' '+str(df.iloc[irow][vcol])+' \\n')        \n",
    "    file_out.close()\n",
    "    \n",
    "    file = open(\"declus.par\", \"w\")\n",
    "    file.write(\"                  Parameters for DECLUS                                    \\n\")\n",
    "    file.write(\"                  *********************                                    \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"declus_out.dat           -file with data                                   \\n\")\n",
    "    file.write(\"1   2   0   3               -  columns for X, Y, Z, and variable           \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21          -  trimming limits                             \\n\")\n",
    "    file.write(\"declus.sum                  -file for summary output                       \\n\") \n",
    "    file.write(\"declus.out                  -file for output with data & weights           \\n\")\n",
    "    file.write(\"1.0   1.0                   -Y and Z cell anisotropy (Ysize=size*Yanis)    \\n\") \n",
    "    file.write(str(bmin) + \"                -0=look for minimum declustered mean (1=max)   \\n\") \n",
    "    file.write(str(cnum) + \" \" + str(cmin) + \" \" + str(cmax) + \" -number of cell sizes, min size, max size      \\n\")\n",
    "    file.write(\"5                           -number of origin offsets                      \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('declus.exe declus.par')\n",
    "    df = GSLIB2Dataframe(\"declus.out\")\n",
    "    for irow in range(0, nrow):\n",
    "        weights.append(df.iloc[irow,3])    \n",
    "\n",
    "    return(weights)\n",
    " \n",
    "# regular grid variogram, 2D wrapper for gam from GSLIB (.exe must be in working directory)\n",
    "def gam_2d(array,nx,ny,hsiz,nlag,xlag,ylag,bstand):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    \n",
    "    lag = []; gamma = []; npair = []\n",
    "    \n",
    "    ndarray2GSLIB(array,\"gam_out.dat\",\"gam.dat\")\n",
    "    \n",
    "    file = open(\"gam.par\", \"w\")\n",
    "    file.write(\"                  Parameters for GAM                                       \\n\")\n",
    "    file.write(\"                  ******************                                       \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"gam_out.dat           -file with data                                      \\n\")\n",
    "    file.write(\"1   1   0             -   number of variables, column numbers              \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21    -   trimming limits                                  \\n\")\n",
    "    file.write(\"gam.out               -file for variogram output                           \\n\")\n",
    "    file.write(\"1                     -grid or realization number                          \\n\")\n",
    "    file.write(str(nx) + \" 0.0 \" + str(hsiz) + \"  -nx, xmn, xsiz                           \\n\")\n",
    "    file.write(str(ny) + \" 0.0 \" + str(hsiz) + \"  -ny, ymn, ysiz                           \\n\")\n",
    "    file.write(\" 1   0.5   1.0        -nz, zmn, zsiz                                       \\n\")\n",
    "    file.write(\"1 \" + str(nlag) + \"   -number of directions, number of lags                \\n\")\n",
    "    file.write(str(xlag) + \" \" + str(ylag) + \" 0 -ixd(1),iyd(1),izd(1)                     \\n\")\n",
    "    file.write(\"1                     -standardize sill? (0=no, 1=yes)                     \\n\")\n",
    "    file.write(\"1                     -number of variograms                                \\n\")\n",
    "    file.write(\"1   1   1             -tail variable, head variable, variogram type        \\n\") \n",
    "    file.close()\n",
    "    \n",
    "    os.system('gam.exe gam.par')\n",
    "    reading = True\n",
    "    with open(\"gam.out\") as myfile:   \n",
    "        head = [next(myfile) for x in range(1)] # skip the first line\n",
    "        iline = 0\n",
    "        while reading:\n",
    "            try:\n",
    "                head = [next(myfile) for x in range(1)]\n",
    "                lag.append(float(head[0].split()[1]))\n",
    "                gamma.append(float(head[0].split()[2]))\n",
    "                npair.append(float(head[0].split()[3]))\n",
    "                iline = iline + 1\n",
    "            except StopIteration:\n",
    "                reading = False   \n",
    "    \n",
    "    return(lag,gamma,npair)    \n",
    "\n",
    "# regular grid variogram, 2D wrapper for gam from GSLIB (.exe must be in working directory)\n",
    "def gamv_2d(df,xcol,ycol,vcol,nlag,lagdist,azi,atol,bstand):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    \n",
    "    lag = []; gamma = []; npair = []\n",
    "    \n",
    "    df_ext = pd.DataFrame({'X':df[xcol],'Y':df[ycol],'Z':rand_sample[vcol]})\n",
    "    Dataframe2GSLIB(\"gamv_out.dat\",df_ext)\n",
    "    \n",
    "    file = open(\"gamv.par\", \"w\")\n",
    "    \n",
    "    file.write(\"                  Parameters for GAMV                                      \\n\")\n",
    "    file.write(\"                  *******************                                      \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"gamv_out.dat                    -file with data                            \\n\") \n",
    "    file.write(\"1   2   0                         -   columns for X, Y, Z coordinates      \\n\")\n",
    "    file.write(\"1   3   0                         -   number of variables,col numbers      \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21                -   trimming limits                      \\n\")\n",
    "    file.write(\"gamv.out                          -file for variogram output               \\n\")\n",
    "    file.write(str(nlag) + \"                      -number of lags                          \\n\")\n",
    "    file.write(str(lagdist) + \"                       -lag separation distance                 \\n\")\n",
    "    file.write(str(lagdist*0.5) + \"                   -lag tolerance                           \\n\")\n",
    "    file.write(\"1                                 -number of directions                    \\n\")\n",
    "    file.write(str(azi) + \" \" + str(atol) + \" 99999.9 0.0  90.0  50.0  -azm,atol,bandh,dip,dtol,bandv \\n\")\n",
    "    file.write(str(bstand) + \"                    -standardize sills? (0=no, 1=yes)        \\n\")\n",
    "    file.write(\"1                                 -number of variograms                    \\n\")\n",
    "    file.write(\"1   1   1                         -tail var., head var., variogram type    \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('gamv.exe gamv.par')\n",
    "    reading = True\n",
    "    with open(\"gamv.out\") as myfile:   \n",
    "        head = [next(myfile) for x in range(1)] # skip the first line\n",
    "        iline = 0\n",
    "        while reading:\n",
    "            try:\n",
    "                head = [next(myfile) for x in range(1)]\n",
    "                lag.append(float(head[0].split()[1]))\n",
    "                gamma.append(float(head[0].split()[2]))\n",
    "                npair.append(float(head[0].split()[3]))\n",
    "                iline = iline + 1\n",
    "            except StopIteration:\n",
    "                reading = False   \n",
    "    \n",
    "    return(lag,gamma,npair)    \n",
    "\n",
    "# irregular spaced data, 2D wrapper for varmap from GSLIB (.exe must be in working directory)\n",
    "def varmapv_2d(df,xcol,ycol,vcol,nx,ny,lagdist,minpairs,vmax,bstand,title,vlabel):\n",
    "    import os\n",
    "    import numpy as np\n",
    "    \n",
    "    lag = []; gamma = []; npair = []\n",
    "    \n",
    "    df_ext = pd.DataFrame({'X':df[xcol],'Y':df[ycol],'Z':rand_sample[vcol]})\n",
    "    Dataframe2GSLIB(\"varmap_out.dat\",df_ext)\n",
    "    \n",
    "    file = open(\"varmap.par\", \"w\")\n",
    "    \n",
    "    file.write(\"              Parameters for VARMAP                                        \\n\")\n",
    "    file.write(\"              *********************                                        \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"varmap_out.dat          -file with data                                    \\n\")\n",
    "    file.write(\"1   3                        -   number of variables: column numbers       \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21           -   trimming limits                           \\n\")\n",
    "    file.write(\"0                            -1=regular grid, 0=scattered values           \\n\")\n",
    "    file.write(\" 50   50    1                -if =1: nx,     ny,   nz                      \\n\")\n",
    "    file.write(\"1.0  1.0  1.0                -       xsiz, ysiz, zsiz                      \\n\") \n",
    "    file.write(\"1   2   0                    -if =0: columns for x,y, z coordinates        \\n\") \n",
    "    file.write(\"varmap.out                   -file for variogram output                    \\n\")\n",
    "    file.write(str(nx) + \" \" + str(ny) + \" 0 \" + \"-nxlag, nylag, nzlag                     \\n\")\n",
    "    file.write(str(lagdist) + \" \" + str(lagdist) + \" 1.0              -dxlag, dylag, dzlag \\n\")\n",
    "    file.write(str(minpairs) + \"             -minimum number of pairs                      \\n\")\n",
    "    file.write(str(bstand) + \"               -standardize sill? (0=no, 1=yes)              \\n\")\n",
    "    file.write(\"1                            -number of variograms                         \\n\") \n",
    "    file.write(\"1   1   1                    -tail, head, variogram type                   \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('varmap.exe varmap.par')\n",
    "    nnx = nx*2+1; nny = ny*2+1\n",
    "    varmap, name = GSLIB2ndarray(\"varmap.out\",0,nnx,nny)               \n",
    "          \n",
    "    xmax = ((float(nx)+0.5)*lagdist); xmin = -1*xmax; \n",
    "    ymax = ((float(ny)+0.5)*lagdist); ymin = -1*ymax; \n",
    "    pixelplt(varmap,xmin,xmax,ymin,ymax,lagdist,0,vmax,title,'X','Y',vlabel,cmap)\n",
    "    return(varmap)  \n",
    "\n",
    "# regular spaced data, 2D wrapper for varmap from GSLIB (.exe must be in working directory)\n",
    "def varmap_2d(array,nx,ny,hsiz,nlagx,nlagy,minpairs,vmax,bstand,title,vlabel):\n",
    "    import os\n",
    "    import numpy as np\n",
    "     \n",
    "    ndarray2GSLIB(array,\"varmap_out.dat\",\"gam.dat\")\n",
    "    \n",
    "    file = open(\"varmap.par\", \"w\")\n",
    "    \n",
    "    file.write(\"              Parameters for VARMAP                                        \\n\")\n",
    "    file.write(\"              *********************                                        \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"varmap_out.dat          -file with data                                    \\n\")\n",
    "    file.write(\"1   1                        -   number of variables: column numbers       \\n\")\n",
    "    file.write(\"-1.0e21     1.0e21           -   trimming limits                           \\n\")\n",
    "    file.write(\"1                            -1=regular grid, 0=scattered values           \\n\")\n",
    "    file.write(str(nx) + \" \" + str(ny) + \" 1  -if =1: nx,     ny,   nz                     \\n\")\n",
    "    file.write(str(hsiz) + \" \" + str(hsiz) + \" 1.0  - xsiz, ysiz, zsiz                     \\n\") \n",
    "    file.write(\"1   2   0                    -if =0: columns for x,y, z coordinates        \\n\") \n",
    "    file.write(\"varmap.out                   -file for variogram output                    \\n\")\n",
    "    file.write(str(nlagx) + \" \" + str(nlagy) + \" 0 \" + \"-nxlag, nylag, nzlag               \\n\")\n",
    "    file.write(str(hsiz) + \" \" + str(hsiz) + \" 1.0              -dxlag, dylag, dzlag       \\n\")\n",
    "    file.write(str(minpairs) + \"             -minimum number of pairs                      \\n\")\n",
    "    file.write(str(bstand) + \"               -standardize sill? (0=no, 1=yes)              \\n\")\n",
    "    file.write(\"1                            -number of variograms                         \\n\") \n",
    "    file.write(\"1   1   1                    -tail, head, variogram type                   \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('varmap.exe varmap.par')\n",
    "    nnx = nlagx*2+1; nny = nlagy*2+1\n",
    "    varmap, name = GSLIB2ndarray(\"varmap.out\",0,nnx,nny)               \n",
    "          \n",
    "    xmax = ((float(nlagx)+0.5)*hsiz); xmin = -1*xmax; \n",
    "    ymax = ((float(nlagy)+0.5)*hsiz); ymin = -1*ymax; \n",
    "    pixelplt(varmap,xmin,xmax,ymin,ymax,hsiz,0,vmax,title,'X','Y',vlabel,cmap)\n",
    "    return(varmap)  \n",
    "\n",
    "# variogram model, 2D wrapper for vmodel from GSLIB (.exe must be in working directory)\n",
    "def vmodel_2d(nlag,step,azi,nug,nst,tstr1,c1,azi1,rmaj1,rmin1,tstr2=1,c2=0,azi2=0,rmaj2=0,rmin2=0):\n",
    "    import os\n",
    "    import numpy as np\n",
    "\n",
    "    lag = []; gamma = []\n",
    "    \n",
    "    file = open(\"vmodel.par\", \"w\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"                  Parameters for VMODEL                                    \\n\")\n",
    "    file.write(\"                  *********************                                    \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETERS:                                                       \\n\")\n",
    "    file.write(\"vmodel.var                   -file for variogram output                    \\n\")\n",
    "    file.write(\"1 \" + str(nlag) + \"          -number of directions and lags                \\n\")\n",
    "    file.write(str(azi) + \" 0.0 \" + str(step) + \" -azm, dip, lag distance                  \\n\")\n",
    "    file.write(str(nst) + \" \" + str(nug) + \" -nst, nugget effect                           \\n\")\n",
    "    file.write(str(tstr1) + \" \" + str(c1) + \" \" + str(azi1) + \" 0.0   0.0   0.0 -it,cc,ang1,ang2,ang3 \\n\")\n",
    "    file.write(str(rmaj1) + \" \" + str(rmin1) + \" 0.0 -a_hmax, a_hmin, a_vert               \\n\")\n",
    "    file.write(str(tstr2) + \" \" + str(c2) + \" \" + str(azi2) + \" 0.0   0.0   0.0 -it,cc,ang1,ang2,ang3 \\n\")\n",
    "    file.write(str(rmaj2) + \" \" + str(rmin2) + \" 0.0 -a_hmax, a_hmin, a_vert               \\n\")\n",
    "    file.close()\n",
    "    \n",
    "    os.system('vmodel.exe vmodel.par')\n",
    "    reading = True\n",
    "    with open(\"vmodel.var\") as myfile:   \n",
    "        head = [next(myfile) for x in range(1)] # skip the first line\n",
    "        iline = 0\n",
    "        while reading:\n",
    "            try:\n",
    "                head = [next(myfile) for x in range(1)]\n",
    "                lag.append(float(head[0].split()[1]))\n",
    "                gamma.append(float(head[0].split()[2]))\n",
    "                iline = iline + 1\n",
    "            except StopIteration:\n",
    "                reading = False   \n",
    "    \n",
    "    return(lag,gamma)               \n",
    "               \n",
    "# sequential Gaussian simulation, 2D unconditional wrapper for sgsim from GSLIB (.exe must be in working directory)\n",
    "def GSLIB_sgsim_2d_uncond(nreal,nx,ny,hsiz,seed,hrange1,hrange2,azi,output_file):\n",
    "    import os\n",
    "    import numpy as np \n",
    "    \n",
    "    hmn = hsiz * 0.5   \n",
    "    hctab = int(hrange1/hsiz)*2 + 1\n",
    "    \n",
    "    sim_array = np.random.rand(nx,ny)\n",
    "  \n",
    "    file = open(\"sgsim.par\", \"w\")\n",
    "    file.write(\"              Parameters for SGSIM                                         \\n\")\n",
    "    file.write(\"              ********************                                         \\n\")\n",
    "    file.write(\"                                                                           \\n\")\n",
    "    file.write(\"START OF PARAMETER:                                                        \\n\")\n",
    "    file.write(\"none                          -file with data                              \\n\")\n",
    "    file.write(\"1  2  0  3  5  0              -  columns for X,Y,Z,vr,wt,sec.var.          \\n\")\n",
    "    file.write(\"-1.0e21 1.0e21                -  trimming limits                           \\n\")\n",
    "    file.write(\"0                             -transform the data (0=no, 1=yes)            \\n\")\n",
    "    file.write(\"none.trn                      -  file for output trans table               \\n\")\n",
    "    file.write(\"1                             -  consider ref. dist (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"none.dat                      -  file with ref. dist distribution          \\n\")\n",
    "    file.write(\"1  0                          -  columns for vr and wt                     \\n\")\n",
    "    file.write(\"-4.0    4.0                   -  zmin,zmax(tail extrapolation)             \\n\")\n",
    "    file.write(\"1      -4.0                   -  lower tail option, parameter              \\n\")\n",
    "    file.write(\"1       4.0                   -  upper tail option, parameter              \\n\")\n",
    "    file.write(\"0                             -debugging level: 0,1,2,3                    \\n\")\n",
    "    file.write(\"nonw.dbg                      -file for debugging output                   \\n\")\n",
    "    file.write(str(output_file) + \"           -file for simulation output                  \\n\")\n",
    "    file.write(str(nreal) + \"                 -number of realizations to generate          \\n\")\n",
    "    file.write(str(nx) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(str(ny) + \" \" + str(hmn) + \" \" + str(hsiz) + \"                              \\n\")\n",
    "    file.write(\"1 0.0 1.0                     - nz zmn zsiz                                \\n\")\n",
    "    file.write(str(seed) + \"                  -random number seed                          \\n\")\n",
    "    file.write(\"0     8                       -min and max original data for sim           \\n\")\n",
    "    file.write(\"12                            -number of simulated nodes to use            \\n\")\n",
    "    file.write(\"0                             -assign data to nodes (0=no, 1=yes)          \\n\")\n",
    "    file.write(\"1     3                       -multiple grid search (0=no, 1=yes),num      \\n\")\n",
    "    file.write(\"0                             -maximum data per octant (0=not used)        \\n\")\n",
    "    file.write(str(hrange1) + \" \" + str(hrange2) + \" 1.0 -maximum search  (hmax,hmin,vert) \\n\")\n",
    "    file.write(str(azi) + \"   0.0   0.0       -angles for search ellipsoid                 \\n\")\n",
    "    file.write(str(hctab) + \" \" + str(hctab) + \" 1 -size of covariance lookup table        \\n\")\n",
    "    file.write(\"0     0.60   1.0              -ktype: 0=SK,1=OK,2=LVM,3=EXDR,4=COLC        \\n\")\n",
    "    file.write(\"none.dat                      -  file with LVM, EXDR, or COLC variable     \\n\")\n",
    "    file.write(\"4                             -  column for secondary variable             \\n\")\n",
    "    file.write(\"1    0.0                      -nst, nugget effect                          \\n\")\n",
    "    file.write(\"1    1.0 \" + str(azi) + \" 0.0 0.0 -it,cc,ang1,ang2,ang3                    \\n\")\n",
    "    file.write(\" \" + str(hrange1) + \" \" + str(hrange2) + \" 1.0 -a_hmax, a_hmin, a_vert     \\n\")\n",
    "    file.close()\n",
    "\n",
    "    os.system('\"sgsim.exe sgsim.par\"')       \n",
    "    sim_array = GSLIB2ndarray(output_file,0,nx,ny)         \n",
    "    return(sim_array)\n",
    "\n",
    "# extract regular spaced samples from a model   \n",
    "def regular_sample(array,xmin,xmax,ymin,ymax,step,mx,my,name):\n",
    "    x = []; y = []; v = []; iix = 0; iiy = 0;\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax, ymin, -1*step))\n",
    "    iiy = 0\n",
    "    for iy in range(0,ny):\n",
    "        if iiy >= my:\n",
    "            iix = 0\n",
    "            for ix in range(0,nx):\n",
    "                if iix >= mx:\n",
    "                    x.append(xx[ix,iy]);y.append(yy[ix,iy]); v.append(array[ix,iy])\n",
    "                    iix = 0; iiy = 0\n",
    "                iix = iix + 1\n",
    "        iiy = iiy + 1\n",
    "    df = pd.DataFrame(np.c_[x,y,v],columns=['X', 'Y', name])\n",
    "    return(df)\n",
    "\n",
    "# extract random set of samples from a model   \n",
    "def random_sample(array,xmin,xmax,ymin,ymax,step,nsamp,name):\n",
    "    import random as rand\n",
    "    x = []; y = []; v = []; iix = 0; iiy = 0;\n",
    "    xx, yy = np.meshgrid(np.arange(xmin, xmax, step),np.arange(ymax-1, ymin-1, -1*step))\n",
    "    nx = xx.shape[0]\n",
    "    ny = xx.shape[1]\n",
    "    sample_index = rand.sample(range((nx)*(ny)), nsamp)\n",
    "    for isamp in range(0,nsamp):\n",
    "        iy = int(sample_index[isamp]/ny)\n",
    "        ix = sample_index[isamp] - iy*nx\n",
    "        x.append(xx[ix,iy])\n",
    "        y.append(yy[ix,iy])\n",
    "        v.append(array[ix,iy])\n",
    "   \n",
    "    df = pd.DataFrame(np.c_[x,y,v],columns=['X', 'Y', name])\n",
    "    return(df)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Set the working directory\n",
    "\n",
    "I always like to do this so I don't lose files and to simplify subsequent read and writes (avoid including the full address each time).  Also, in this case make sure to place the required (see above) GSLIB executables in this directory or a location identified in the environmental variable *Path*.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"c:/PGE337/Variogram\")                                   # set the working directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will have to update the part in quotes with your own working directory and the format is different on a Mac (e.g. \"~/PGE\"). \n",
    "\n",
    "##### Make a 2D spatial model\n",
    "\n",
    "The following are the basic parameters for the demonstration.  This includes the number of cells in the 2D regular grid, the cell size (step) and the x and y min and max along with the color scheme.\n",
    "\n",
    "Then we make a single realization of a Gausian distributed feature over the specified 2D grid and then apply affine correction to ensure we have a reasonable mean and spread for our feature's distribution, assumed to be Porosity (e.g. no negative values) while retaining the Gaussian distribution.  Any transform could be applied at this point.  We are keeping this workflow simple. *This is our truth model that we will sample*.\n",
    "\n",
    "The parameters of *GSLIB_sgsim_2d_uncond* are (nreal,nx,ny,hsiz,seed,hrange1,hrange2,azi,output_file).  nreal is the number of realizations, nx and ny are the number of cells in x and y, hsiz is the cell siz, seed is the random number seed, hrange and hrange2 are the variogram ranges in major and minor directions respectively, azi is the azimuth of the primary direction of continuity (0 is aligned with Y axis) and output_file is a GEO_DAS file with the simulated realization.  The ouput is the 2D numpy array of the simulation along with the name of the property."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "nx = 100; ny = 100; cell_size = 10                               # grid number of cells and cell size\n",
    "xmin = 0.0; ymin = 0.0;                                          # grid origin\n",
    "xmax = xmin + nx * cell_size; ymax = ymin + ny * cell_size       # calculate the extent of model\n",
    "seed = 74074                                                     # random number seed  for stochastic simulation    \n",
    "range_max = 500; range_min = 200; azimuth = 90                   # Porosity variogram ranges and azimuth\n",
    "mean = 10.0; stdev = 2.0                                         # Porosity mean and standard deviation\n",
    "#cmap = plt.cm.RdYlBu\n",
    "vmin = 4; vmax = 16; cmap = plt.cm.plasma                        # color min and max and using the plasma color map\n",
    "\n",
    "# calculate a stochastic realization with standard normal distribution\n",
    "sim,value = GSLIB_sgsim_2d_uncond(1,nx,ny,cell_size,seed,range_max,range_min,azimuth,\"simulation\")\n",
    "sim = affine(sim,mean,stdev)                                     # correct the distribution to a target mean and standard deviation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Data Quality Control and Preprocessing\n",
    "\n",
    "Now we have a reasonable echaustive porosity data set to work with.  If we were modeling variograms for Gaussian simulation, then we would want to first transform the data to standard normal (Gaussian with a mean of zero and a variance of one).  Let's demonstrate that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "nscore_sim = nscore(sim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's confirm that the property has been transformed by comparing the before and after transformed distributions and pixel plots.  We will make sure that the distribution is now Gaussian and the values have the correct spatial features. The hist function parameters are (array,xmin,xmax,log,cumul,bins,weights,xlabel,title).  Array is a 1D or 2D array, xmin and ymin are the min and max values in the plot, log is 1 for log axis and cumul is 1 for cumulative distribution, bins is the number of equal sized bins, weights is an optional array of the same size as the data array with weights and the remainder are labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exhastive Mean =  10.0 , Exhaustive Variance =  4.0\n",
      "Exhastive Nscore Mean =  0.0 , Exhaustive Nscore Variance =  1.0\n"
     ]
    }
   ],
   "source": [
    "hist(sim.flatten(),vmin,vmax,log=False,cumul=False,bins=20,weights=None,xlabel=\"Porosity (%)\",title=\"Porosity Dataset\")\n",
    "hist(nscore_sim.flatten(),-3,+3,log=False,cumul=False,bins=20,weights=None,xlabel=\"Porosity (%)\",title=\"Porosity Nscore Transformed\")\n",
    "ex_mean = np.average(sim)\n",
    "ex_var = np.var(sim)\n",
    "ex_nscore_mean = np.average(nscore_sim)\n",
    "ex_nscore_var = np.var(nscore_sim)\n",
    "print('Exhastive Mean = ',round(ex_mean,2),', Exhaustive Variance = ',round(ex_var,2))\n",
    "print('Exhastive Nscore Mean = ',round(ex_nscore_mean,2),', Exhaustive Nscore Variance = ',round(ex_nscore_var,2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at our 2D model before and after Gaussian transform with pixel plots.  The parameters below for the pixelplt function are(array,xmin,xmax,ymin,ymax,step,vmin,vmax,title,xlabel,ylabel,vlabel,cmap).  Array is a 2D numpy array with the realization (the output from the *GSLIB_sgsim_2d_uncond*), the xmin, xmax, ymin, ymax are the extents of the model and step is the cell size, vmin, vmax are the min and max of the feature, title, xlabel, ylabel and vlabel are the plot labels and cmap is the color map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.contour.QuadContourSet at 0x21866b64be0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pixelplt(sim,xmin,xmax,ymin,ymax,cell_size,vmin,vmax,\"Porosity Realization\",\"X(m)\",\"Y(m)\",\"Porosity (%)\",cmap)\n",
    "pixelplt(nscore_sim,xmin,xmax,ymin,ymax,cell_size,-3,+3,\"NScore Porosity Realization\",\"X(m)\",\"Y(m)\",\"N[Porosity]\",cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Directions of Continuity\n",
    "\n",
    "The variogram map is a calculation of the variogram over a mesh centered at lag = 0 and extending in all directions over a ranges of distances.  The variogram map is a useful tool to detect data anisotropy, the directions of major and minor continuity (largest and smallest variogram range).  Let's calculate a regularly sampled dataset variogram map.  The parameters are (array,nx,ny,hsiz,nlagx,nlagy,minpairs,vmax,bstand,title,vlabel) where array, nx and ny are a numpy 2D array with the regularly sampled data and the extents, hsiz is the cell size, and nlagx and nlagy are the number of cells to search in x and y (mesh size is $2 \\times nx + 1$ by $2 \\times ny + 1$), minpairs is the minimum number of data pairs to estimate the variogram in each cell, vmax is the maximum variogram value for the colorbar in the plot, bstand is 1 to standardize the sill to 1.0 while the remainder parameters are text labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nlagx = 50; nlagy = 50; minpairs = 5;vmax = 1.2;bstand = 1\n",
    "varmap_regular = varmap_2d(nscore_sim,nx,ny,cell_size,nlagx,nlagy,minpairs,vmax,bstand,'Variogram Map for N[Porosity] Model','Variogram')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like 090 (x axis) is the direction of major continuity and 000 (y axis) is the direction of minor continuity.\n",
    "\n",
    "#### Regularly Sampled Data Variogram\n",
    "\n",
    "Let's go ahead and calculate the the variograms in the x and y direction. We use a wrapper for the gam function from GSLIB.  The parameters are (array,nx,ny,hsiz,nlag,xlag,ylag,bstand) were array, nx, ny, hsiz are 2D numpy array, number of x and y cells, the isotropic cell size and nlag is the number of lag offsets and xlag and ylag is the unit lag offset and bstand is 1 to standardized the data before calculation to enforce a sill of one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "nlag = 70; standardize = 0                                       # set the variogram parameters\n",
    "xlag = 1; ylag = 0;                                              # calculate the variograms in the x and y direcion\n",
    "lag_x,gamma_x,npair_x = gam_2d(nscore_sim,nx,ny,cell_size,nlag,xlag,ylag,standardize)\n",
    "xlag = 0; ylag = 1;\n",
    "lag_y,gamma_y,npair_y = gam_2d(nscore_sim,nx,ny,cell_size,nlag+10,xlag,ylag,standardize)\n",
    "\n",
    "lags = np.array([lag_x,lag_y])                                   # combine into in lists of arrays to pass to plotting\n",
    "gammas = np.array([gamma_x,gamma_y])\n",
    "npairs = np.array([npair_x,npair_y])\n",
    "vtypes = [0,0]                                                   # indicate that the two variograms are experimental\n",
    "names = ['Azi 090','Azi 000']                                    # give the variograms names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have our experimental variograms in the x and y directions, lag distance (lags), variogram values (gamms) and number of pairs (npairs) formatted into lists of 1D arrays along with a vector of variogram types (vtypes) set to 0 for experimental variograms (we will use 1 later for variogram models).  We can send these lists to the vargplt wrapper for get a variogram plot.  The parameters of vargplt are (lags,gammas,npairs,vtypes,name,xmin,xmax,ymin,ymax,sill,title,cmap) where lags, gammas, npairs and vtypes are described above, names is a list of variogram names, sill is the sill value, title is the plot title and cmap is the colormap for the number of pairs. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x218683e5278>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vargplts(lags,gammas,npairs,vtypes,names,0,700,0,1.2,1,\"X Direction Porosity Variogram\",cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now use the wrapper for the 2D implementation of the vmodel method from GSLIB to fit positive definite variogram models.  We will assume a single structure and nugget effect.  The parameters of vmodel are (nlag,step,azi,nug,nst,tstr1,c1,azi1,rmaj1,rmin1,tstr2=1,c2=0,azi2=0,rmaj2=0,rmin2=0), including number of lags, size and azimuth for a unit lag, nuggest effect, number of nested structures and for each nest structure (max of 2), tstr is the type of structure (1 for spherical, 2 for exponential and 3 for Gaussian), contribution of the structure, major direction and range, and minor range. To add a second structure just specify $nst = 2$ and the contribution, azimuth and ranges. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "azi = 90; rmaj = 500; rmin = 300\n",
    "\n",
    "lag_x_mod,gamma_x_mod = vmodel_2d(nlag=70,azi=90,step=10,nug=0,nst=1,tstr1=1,c1=1.0,azi1=azi,rmaj1=rmaj,rmin1=rmin)\n",
    "lag_y_mod,gamma_y_mod = vmodel_2d(nlag=70,azi=0,step=10,nug=0,nst=1,tstr1=1,c1=1.0,azi1=azi,rmaj1=rmaj,rmin1=rmin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have variogra models.  To visualize them with the expeerimental variograms we need to add the variogram models to the list of 1d arrays for lags, gammas and npairs, and add the variogram types as 1 to indicate that they are models and replot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x218688a1f28>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lags = np.array([lag_x,lag_y,lag_x_mod,lag_y_mod])\n",
    "gammas = np.array([gamma_x,gamma_y,gamma_x_mod,gamma_y_mod])\n",
    "npairs = np.array([npair_x,npair_y])\n",
    "vtypes = [0,0,1,1]\n",
    "names = ['Azi 090','Azi 000']\n",
    "vargplts(lags,gammas,npairs,vtypes,names,0,700,0,1.2,1,\"Anisotropic Porosity Variogram: Experimental and Model\",cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Irregularly Sampled Data Variogram\n",
    "\n",
    "Let's calculate variograms again, but this time we will give our selves non regularly sampled data. In this case we will have to use a more sophisticated variogram calculation method that allows for search tolerances to account for irregular data spacing. Let's first create a randomly sampled dataset from our Nscore transformed simulation.  We have a function that wraps above to do this with the parameters (array,xmin,xmax,ymin,ymax,step,nsamp,name), where array is the 2D numpy array followed by the extents and cell size and nsamp is the number of random samples and name is the name to given to the values sampled in the output DataFrame.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "rand_sample = random_sample(nscore_sim,xmin,xmax,ymin,ymax,cell_size,100,\"Porosity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize out new data set with and without the exhastive Nscore simulation shown. We can visualize the truth model and the samples with locpix. The parameters of locpix are (array,xmin,xmax,ymin,ymax,step,vmin,vmax,df,xcol,ycol,vcol,title,xlabel,ylabel,vlabel,cmap). These are the same as pixelplt with the addition of the locmap parameters described below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.contour.QuadContourSet at 0x21868965748>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "locpix(nscore_sim,0,1000,ymin,ymax,cell_size,-3,3,rand_sample,'X','Y','Porosity','Porosity Realization and Regular Samples','X(m)','Y(m)','Porosity (%)',cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at the samples without the truth model.  We do this with a location map, locmap as the parameters (df,xcol,ycol,vcol,xmin,xmax,ymin,ymax,vmin,vmax,title,xlabel,ylabel,vlabel,cmap), df, xcol, ycol, vcol is a DataFrame and the column names for x, y and feature of interest, xmin, xmax, ymin, ymax, vmin and vmax are the ranges for x, y and the feature of interest, the remainder are labels and the color map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x21869d109b0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "locmap(rand_sample,'X','Y','Porosity',xmin,xmax,ymin,ymax,-3,3,'Porosity Samples','X(m)','Y(m)','Porosity (%)',cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try the vairogram map of the irregularly sampled data.  It should be a bit noisy due to limited data available to estimate in each cell. Any cell with less the minpairs number of pairs will have a null value (-999)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lagdist = 70; nlagx = 7; nlagy = 7;\n",
    "varmap_irregular = varmapv_2d(rand_sample,'X','Y','Porosity',nlagx,nlagy,lagdist,minpairs,vmax,bstand,'Variogram Map for N[Porosity] Random Sample','Variogram')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The results are similar with the regularly sampled data variogram map, but with more noise.  We will still assign 090 as the major and 000 as the minor direction of continuity.\n",
    "\n",
    "We need to apply gamv from GSLIB to calculate the variogram for this nonregularly sampled dataset.  Gamv includes angle and lag distance tolerances to allow for irregular data spacing.  The wrapper has simplified gamv for the 2D model setings and has removed the bandwidths (assumed very large). The parameters are (df,xcol,ycol,vcol,nlag,lagdist,azi,atol,bstand) including a DataFrame and the associated names of the X, Y and variable columns, the number of lags and lag distance and the azimuth and azimuth tolerance, along with a boolean for standardization of results (1=standardize to a sill of one).  The lag distance tolerance has been \"hard coded\" as $\\frac{1}{2}$ the lag distance.  We start with calculating the isotropic variogram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "nlag = 70; lag = 50; azi = 90; atol = 90; standardize = 0        # set the variogram calculation parameters\n",
    "# calculate the isotropic variogram\n",
    "lag_iso,gamma_iso,npair_iso = gamv_2d(rand_sample,'X','Y','Porosity',nlag,lag,azi,atol,standardize)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize this variogram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x21869d672e8>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vtype_iso = 0\n",
    "name_iso = 'Iso'\n",
    "vargplt(lag_iso,gamma_iso,npair_iso,vtype_iso,name_iso,0,1000,0,1.5,1,\"Anisotropic Porosity Variogram: Experimental and Model\",cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The isotropic variogram is quite well behaved.  Let's try to calculate directional variograms. We know the major direction should be 090 azimuth, along the X axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "nlag = 70; lag = 50; azi = 90; atol = 45; standardize = 0        # set the variogram parameters\n",
    "# calculate the isotropic variogram\n",
    "lag_000,gamma_000,npair_000 = gamv_2d(rand_sample,'X','Y','Porosity',nlag,lag,azi,atol,standardize)  \n",
    "nlag = 70; lag = 50; azi = 0; atol = 45; standardize = 0        # set the variogram parameters\n",
    "# calculate the isotropic variogram\n",
    "lag_090,gamma_090,npair_090 = gamv_2d(rand_sample,'X','Y','Porosity',nlag,lag,azi,atol,standardize)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's visualize the 090 and 000 azimuth variograms.  We need to once again put the arrays into lists to send to vargplt.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x21869e3ab38>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lags = np.array([lag_000,lag_090])\n",
    "gammas = np.array([gamma_000,gamma_090])\n",
    "npairs = np.array([npair_000,npair_090])\n",
    "vtypes = [0,0]\n",
    "names = ['Azi 000','Azi 090']\n",
    "vargplts(lags,gammas,npairs,vtypes,names,0,1000,0,1.5,1,\"Anisotropic Porosity Variogram: Experimental and Model\",cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can fit an anisotropic spatial continuity model,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "azi = 90; rmaj = 400; rmin = 250\n",
    "\n",
    "lag_090_mod,gamma_090_mod = vmodel_2d(nlag=70,azi=90,step=10,nug=0,nst=1,tstr1=1,c1=1.0,azi1=azi,rmaj1=rmaj,rmin1=rmin)\n",
    "lag_000_mod,gamma_000_mod = vmodel_2d(nlag=70,azi=0,step=10,nug=0,nst=1,tstr1=1,c1=1.0,azi1=azi,rmaj1=rmaj,rmin1=rmin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and visualize the resulting anisotropic variogram model with the experiemental variogram points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TcjZrN+7h3BoleOujk4x+pafXYYUs5SRJmp1pFfLEP0BTnElursUZrAqcyXUeEJGZOB3RDqpqvl4ahyAmbRF5B2cGngoisg1n+MhoAFV9FWeIzPLABGdIXBJz8IvIGGMKlG73D2LKhDiub3SCSxq2pkKFLOcqKbwUJDl4h88gT3XDmUglCufSepy7+UKcnuPrcSaDuTt4kWUsaElbVTtksb4r0DVY5zfGmFCUUtt+dfYaJk2zWnaWNHjz6WSSpy5NZ1sFPP+DFbyeD8YYU8D17DOUlT98Y7XsLAixRHJuLo6wKs9iCRWWtI0xJp/VqVMHuwsmECdJTs73Nu2QZknbGGNMaApym3ZBZEnbGGNM6LKknYolbWOMMaFJQWz6nVQsaRsTZl4YNYJjR08f9r/u+Q245daOHkRkTM6IxBIZcU4ujvBrnsUSKixpGxNmNvz1O9detZlza5XwLfto0R4OHz7Pw6iMyT7VkyQnWkc0f0Gb5csY44377h/M8u+U82qX5LzaJTm7RnFWrSlC+9vv8jo0Y7IvWXP+CEOWtI0JM/Xq1eNkYk3W/3UEgPkL99C8ZWeKFSvmcWTGZJPbpp3TRziypG1MGIrrPpg3ZhwiPj6ZDxcnWS3bFFzJuXiEIWvTNiYMpdS2R7/8B81b3m+1bFMgicQSEZmbjmg2IpoxpoCI6z6YB/vcw4ePWi3bFFB6Ek1Y73UUIcUujxsTpurVq8cH87+wWnaA9u7dy8qVK9m5c6fXoZgUmstHGLKatjFhrGTJkl6HEPKSk5N5cdRwfv95ERfUjmLtpkSqnn0ljz72HFFR9hXpNRvGNDX7RBpjCrV357wDhxcx8ckqiDjTQL4x51vemDKBbnG9PY6ukJNYJCo3s3z9lmehhApL2saYQu3jD9/ihYcr+hI2QMe2lbj3sfcsaXtNT6Lx1qbtz5K2MaZQi48/QbGipVIti44WNDnBo4iMTxjfb51T1hHNGFOoNWx0A4uX7Um17Jsf91P3wkYeRWROUdBcPMKQ1bSNMYXa3fc+QO+ey9n8z04uqRvFmvWJfPVLMca+PNjr0AzWES0tS9rGmEKtVKlSTJoyl88//4zf1v5GjYvqMOWh5sTGxnodmpEiueyItjrPQgkVlrSNMYVedHQ0zZu3pHnzll6HYvwln7COaGlY0jbGGBOyrCNaapa0jTGF3tQ3XuPwob2nLa91Tl1a3/RvDyIyPtamnYolbWNMoffdis9odNEmatUo7lv21Yp9rNfbAUvanlGBZMl6u0LEkrYxJtvGjHmab5Z/SHT0qa8QVSUxoRizZn1MRETBupv0vvsfZcaU7nT4TzkAkpOVV6Yf5+WH7/c4ssJNImKRWBsRzZ8lbWNMttWvfyUHDn/AwwMr+Jb98P0BPl98XoFL2ACXXHIJE+Or89emA5xTswSffLmHyxu3pWzZsl6HVrgln4QT1hHNX8H732WM8VyTJlezaUN5dmw/ATi17GlTjtOt68MeR5Zzcd0HM2XmIZKTlZkfxHNXZ6tlh4TkXDzCkCVtY0y2iQj33D2At948CMDKHw5SreoVVK9e3ePIcu6SSy7haHx1Xpm6yWrZoUIJatIWkSkisktEVqdZ3ktE/iciv4vIc37LB4nIendd8zx4hdlml8eNMTnSpMnVTHnDqW1Pm3Kc4UMLbi07RVz3wfTs0YkPP7JadmZeGv08XyycTYliRYJ7oohYKBLUNu2pwHhgWsoCEbkGaAvUU9WTIlLJXX4+cDtwAXAm8JmI/EtVk3IRYLZZ0jbG5EhKbXvIwG7UPrdFga5lp7jkkkt47/1PrZadhWtvaMnmnz7g+S41eWv+18E7UfJJOB68Nm1VXSYiNdMsvh94RlVPutvscpe3BWa6yzeKyHqgIfBt0AJMh10eN8bkWJMmV1PljGYFui07rcqVK3sdQsi78MILSShWk/9tPRj0c0my5PiRQ/8CmojIdyLypYhc5i6vCmz1226buyxfWU3bGJNjIsLo0RO9DsN4IK7XQCY/2z34J8rdiGgVRGSlX3miqmb1gY0CygKNgMuA2SJSC0jvV0C+j9dmSdsYY0y2pdS24ZvgnUTJ7eAqe1S1QTb32Qa8r6oKfC8iyUAFd/lZfttVA/7JTXA5YUnbGGNMjsT1Gsi4iTOCd4KIWChyTi4O8GtOdpoHXAssFZF/ATHAHmA+8LaIvIjTEa028H0ugssRS9rGGGNy5MILLwzuCZJPwvG/gnZ4EXkHaIZzGX0bMBSYAkxxbwOLBzq7te7fRWQ2sAZIBHrmd89xsKRtjDEmlAWx1VhVO2Sw6s4Mtn8KeCp4EWXNkrYxxpjQlPs27bBjSdsYY0zoUkva/ixpG2OMCU0RRZBcdUT7Oc9CCRWWtI0xxoSm5BNwLHgd0QoiS9rGGGNCk4q1aadhSdsYY0zoyvcxx0KbJW1jjDGhKSIWiuamTfunPAslVFjSNsYYE5qST8LRDV5HEVIsaRtjjAlddstXKpa0jTHGhCYFkr0OIrQELWmLyBTgJmCXqp42QK2ICDAWaAUcA7qoavg1QBhjTD759ttveWzQfVSuWDzV8h27jvL085Np2LChR5HlnFpNO5Vg1rSnAuOBaRmsb4kzS0pt4HLgFfdfYwBITk5m+/btbNq0iY0bN7Jlyxbi4+O9DivkJCYmsm/fPg4fPkx8fDzx8fGcPHmS+Ph4EhMTvQ7P5KPk5GT+XLOZEzWjiIxwkl1SkrJ2cyIPP/wwERERHkeYTRGxUCw3HdF+yLNQQkXQkraqLhORmpls0haY5s6eskJEyohIFVXdHqyYTOhbs2YNb775JvPnz2fDhg2WpI3Jgd1701n21Vf5H0huJZ+EI9YRzZ+XbdpVga1+5W3ustOStojEAXEA1UuXBrHLJeFkL/AO8Caw0uNYjDEhRMU6oqXhZdJO7y+R7m30qjoRmAjQoEEDZaV9tYeD/fv3M2TIECZNmkRCQkK621SoUIGaNWtSs2ZNSpcuTWJiIhUqVKBEiRL5HG3+UFV27NjB77//zpo1a9i/f39A+5UpU4YyZcoQGxtLTEwMMTExxMbGEhUVhdiP3EJn166dJJ34G1WILlqNipUqBe1cX375ZdCODVhHtDS8TNrbgLP8ytWAfzyKxeQjVWXatGk88sgj7N69O9W6mJgY2rRpQ+fOnWnatCklS5bk6NGjDOxzPzGHNlCrXCw//bmBKlfewEMDh4RNQtq4cSOTJ09m1qxZ/PVXxmMtly9fnquvvppGjRpRp04dateuTa1atYiNjc3HaPOHqtKi+ZWUK5NMRMSpv/PRoyep36A5jw8d6WF0oS0+Pp67OlwLCNPeWUJMTEzQzhX0/4NW007Fy6Q9H3hARGbidEA7aO3Z4e+3336jR48efP3116mWN2zYkC5dutC+fXvKlSuXat2YZ5/k+nIHaX5NXQDuUWXU4i9Y+OEltL755nyLPa+pKkuWLGHcuHEsWLAAp3tHaiVLlqRVq1Y0a9aMq6++mjp16hS8zkQ5JCJcf/0NXHT2F1zbpIJv+fBR/9C8RTsPIwt9MTEx3HXPw0RERAU1YQddRCyUqJWLA6zIs1BCRTBv+XoHaAZUEJFtwFAgGkBVXwUW4tzutR7nlq+7gxWL8V5SUhLDhg1j5MiRJCUl+ZafddZZjB07lnbt2qX7i11V+WXFMvp2uti3TES464oaPPfejAKZtI8dO8bUqVMZN24cf/7552nrS5YsSZs2bbjtttu48cYbKVKkiAdRhoYudz9A314f0+xKJSJC2LLtGLv2Vy6Qty7lt1atw+CHTfJJOLzR6yhCSjB7j3fIYr0CPYN1fhM6Dh8+TMeOHVmwYIFvWVRUFP369eOxxx6jePHimeztdH7wvzwKUCQ6ssD1LD9x4gQTJ05k5MiR7Nix47T1N954I927d6dly5aFOlH7q1ixIhfXb8nSb5za9hszD9A1bmzYNIuYLCg2y1caNiKaCaqNGzfSpk0bVq9e7VvWtGlTJkyYwPnnn5/l/iLC2XUu4scNu7m0VkXf8nk/baNZi9uDEnNei4+P54033uDJJ59k27ZtqdaVLFmSLl260LNnT8477zyPIgxtKbXtWjWPWi27MLI27VQsaZug+eqrr/jPf/7Dnj17fMv69+/P008/TWRkZMDHeejR4TwUdxcNtxzknPIx/LDtGAeKV+f52+8IRth5RlWZNWsWgwYNYtOmTanWVa1alf79+3P33XdTsmRJbwIsIFJq248Me5vBj79ltezCJDIWSp6diwN8k2ehhApL2iYopk6dSlxcnO9WrpiYGCZOnEjnzp2zfawzzjiDN+Ys4Msvl/LP1i3cfMslXHrppSH95b169Wp69erF0qVLUy0/44wzGDRoEPfdd59dAs+GLnc/wIkTiVbLLmySTqKHrE3bnyVtk+def/11unbt6itXqlSJuXPn0rhx4xwfMyYmhhtuuDEvwguqgwcPMnz4cF566aVUHe7Kly/PgAED6NmzJ8WKFfMwwoKpYsWKPPb4U16HYfKbirVpp2FJ2+Spd955h27duvnK9erVY/78+dSoUcPDqPLHrFmz6NOnDzt37vQti4yMpHfv3gwdOpTSpUt7GF3BpqqoaqG53c34sTbtVCxpmzzzwQcf0KlTJ9/9xvXr1+fzzz8P+2S1Z88eevTowZw5c1Itb9q0KePHj+fCC0+b5C5f7Nq1i+3bt3P22WdTqlQpT2LIrSNHjjDmhSdYtXIpkZFQ7eyL6DfgKSpXrux1aCa/WE07FUvaJk988skn3Hbbbb5LwhdccAGLFy8O+4T9wQcfEBcXx65du3zLzjzzTF544QXat2/vSbt7fHw8I4Y+zM5N33POmdH8tiGeq5t3oNt9fUK6H0B6Bj1yHy0u2sqgEdUQEX76YyP9enXkjRkfF+xBQ0xgImOhVG46oi3Ls1BChSVtk2tfffUV7dq18903fe655/Lpp59SoUKFLPYsuA4cOECfPn2YNi31zLP33nsvL774oqc121fGj6JOqZ954mFnlODkZGX4lLf55JPzaN68pWdxZdfatWspkriRlldW8S2rX7csjets54svPqd58xYeRmfyRdJJOLjJ6yhCijUQmVxZs2YNrVu35vjx4wBUr16dJUuWUKVKlSz2LLi+//57LrnkklQJu0qVKnz00UdMnjzZ80vRy5d+SPvrzvCVIyKE7u0qseC9qd4FlQPbt2+nVtXTrwycc2YE2//Z4kFEJr+pgiZLjh/hyGraJscOHDhAu3btOHz4MOAkriVLllC9enWPIwsOVWX8+PH069cv1axkd9xxB+PGjTttzPS0xr30LN9/99lpy0uUrMQrr87IsziFJCIjU39hlS4RzdGjh/PsHPmhbt26THslkTjVVJf1v12TxM2d63sYmclX6c79mDdEZApwE7BLVS9Ms+5h4HmgoqruEedDOBZn+O1jQBdV/Sl40aXPkrbJkeTkZO68807WrVsHQPHixVm0aBHnnnuux5EFx6FDh+jatWuqzmalS5dm0qRJ3HrrrQEdo0bN2iQenUf3u091ovrhp/18+k35PI21as3zWbVuG/Vql/Et+/Dr3VzZtGCMIJeiUqVKXHBpa0a+8RFdbipPkdhI3vt8Dwf1PC699FKvwzP5IujzaU8FxgOp2rlE5CzgBsD/kk5LoLb7uBx4xf03X1nSNjkybNgwPvroI1/5jTfeoF69eh5GlHM7d+5k/fr1py0XERo0aMAff/zBLbfckmqb+vXrM2fOHGrVCnwGotat23LnW2PpeGsipUtFO1OUzj7G4088nCevI8WDjzzBgD530vLS7fyrWizf/XmCX/+uyLhX78nT8+SHvg8/xqJFl/Lse9NJSIin2fU9eP7R2wtchzqTQ5ExUKpm0A6vqstEJL0TjAb6Ax/4LWsLTHPnzVghImVEpEp+z05pSdtk27x58xgxYoSvPGDAgIBrm6Ho22+/Ydabg7nyslM1XlXl3Y/30fme/jzwwAO+NnuA+++/nxdffDHbI5pFRkbS4c4+zHx/FPd1qczKn/dTpWqjPG9OOOuss5g0fSEfL1zAiq3rqdPsUu6/9nqio6Pz9DyHDh1i8qtj+PHbL4iKjuHGm2+nQ8fOeXovtYjQsmVrWrZsnWfHNAUA5AzqAAAgAElEQVRIYjwc2JybI1QQkZV+5YmqOjGzHUSkDfC3qv6a5sdhVWCrX3mbu8yStgldf/zxB506dfKVb7zxRp56qmCPVNWq1U3MmjGGO9uWpkRx57/EV9/v5YPPK3Lvvff6titevDiTJk2iQ4dMJ7DLVEpt+/b/JDB1Zt7XslMUL16cW24N3uXwhIQE+tx3B//9v+P06nUGJ+KTmfrpFEZu+B+PDn0maOc1hY/m7vL4HlVtEOjGIlIMeBRIb/jF9AIJYot7+qz3uAnYoUOHaNeuHUeOHAGgVq1avPPOO9ma/CMUxcTE8N/bejDro70AHD+RSNf+v7Pk869925x77rn88MMPuUrYcKq2/eiT64NSy84vS5d+wSVVDtLq8jOIjIygeNEoetxcjY2/fZnqnnVjci1Zcv7IvnOAs4FfRWQTUA34SUQq49Ssz/LbthrwTy5fXbZZTdsErE+fPqxduxaAYsWKMXfu3Cx7TBcUbdr+h7vueJlmlx/h392+Y8PmUz2tr7nmGt599908e62tW7dl9qzpdLsvOLXs/PDX/1Zzcc3YVMtEhItqxLJp0yYqVarkUWQmrETGImVq5tvpVPU3wPfhdRN3A7f3+HzgARGZidMB7WB+t2eDJW0ToHnz5jF16lRfedKkSQW241l6YmJiaHRlOxq3G8y+A/G+5XFxcYwfPz5P24MjIyOZ/tb7Bboz1dm16/L7Zx9w9cWpl6/ZGk/7Anr1wISgxJPo/ly1aWdKRN4BmuG0fW8Dhqrq6xlsvhDndq/1OLd83R20wDJhSdtkaefOnakmAbnjjju4447Qnss6u7777jtGPPm0L2FHREQwevRoevXqFZTkWpATNsA111zHjNdf4ryfd9Hs4orEJyQz/fPtVKndyMYFN3lKg9hqrKqZtnepak2/5wr0DF40gbE2bZMpVaVbt27s2bMHgKpVqzJ+/HiPo8pbixYt4tprr2Xfvn2A04nrww8/pHfv3gU+uQZLTEwMY16dwQ+HGnLXmL+Je3U3UbXaM2T4c16HZsKN5uIRhqymbTL1+uuvs2DBAl956tSplC1b1sOI8taMGTPo0qULiYmJgDPv9cKFC2nYsKHHkYW+cuXKMejxp70Ow4Q1m087LUvaJkMbNmygb9++vnKvXr24/vrrPYwob40dO5YHH3zQV65evTqffPIJ5513nodRGWN8ImMgHzuiFQSWtE26kpKSuOuuu3y3d5133nk880z43H/71FNPMWTIEF85ZSrRqlWrehiVMSaVxPigdkQriCxpm3SNGzeOb775BnB7O0+fTrFixTyOKvdUlSeeeIJhw4b5ljVu3JgFCxaEze1rxoSV4I49XuBY0jan+fvvv3nsscd85ccee4zLLrvMw4jyhqry+OOP8+STT/qWXXfddcyfPz8sfpAYE45yOSJa2LGkbU7Tt29f32XxunXrMmjQII8jyj1VZfDgwaku8Tdv3py5c+dStGhRDyMzxmQonwdXKQgsaZtUFi1alGr6yQkTJhATE+NhRLBu3TriOt1GlXIlUi3fe/AovQYN56abbs50f1Wlf//+jBo1yresVatWvPfee9me9MMYk4+STqL7rE3bnyVt43P8+HF69jw1dkCnTp1o1qyZdwG5zjnnHM6qWoWnbqxEpdLOZezEpGS6Tl9NkyZXZ7n/4MGDUyXsNm3aMHv2bGJjYzPZyxjjOQ36fNoFjg2uYnxGjhzJhg0bAChTpkyqROeliIgIOvd4iOkrtvmWLfp1G1e1+DelS5fOdN+nn3461SXxf//738yZM8cStjEFgOKMiJbTRziypG0AWLt2Lc8++6yvPHLkyJCa9OGaa67lz0Mx7Dp4jMSkZN5ddYA77+6a6T4vvfQSjz76qK988803M2vWLM8v9xtjsiF/Z/kKeXZ53KCq9OjRg/h4Z9zthg0bEhcX53FUqflq2289w3kVi2RZy54yZQp9+vTxla+77jpmz56dpxN/GGOCS6JikHI1vA4jpFjSNsyePZslS5YATnJ89dVXiYgIvYsw11xzLW9OeJGft+1l8qMZ17Jnz56daoKTxo0bM2/ePOt0ZkwBo4nxJO/d4nUYIcWSdiF34sQJBgwY4Cv36tWL//u///MwooxFRETQvd+jbFz3vwxr2YsWLaJjx44kJycD8H//93989NFHlChRIt3tjTEhTLGOaGlY0i7kxo0bx+bNzi0V5cuXZ/jw4R5HlLnGja+kceMr0133ww8/8N///tc3+UfdunVZvHgxZcqUCfj4+/btY8WKFRQrVozGjRtb+7cxHtMwbZvOKUvahdiePXt46qmnfOVhw4Zl2Rs7VK1fv57WrVtz7NgxAGrUqMGnn35KxYoVAz7Ge3PeZt7bY7jukmiOnBBeHQ1DnnqVCy+8MFhhG2MyZbd8pWVJuxAbMWIEBw8eBKB27drcd999HkeUM7t27aJFixbs3r0bcKaMXLRoUbYm/9iyZQsfzR7D5P7ViYl22vP/2/QE/R7vxVvvLgnJNn5jwl5UDFK+utdRhBRL2oXUunXrmDBhgq/83HPPFcie1UeOHKF169b89ddfABQpUoQFCxZQp06dbB3n08UfcstVRXwJG6ByhSKcd+Y+Vq9eTb169fI0bmNMABLjSd6z1esoQool7UJq0KBBvrbfJk2a0LZtW48jyr6EhARuu+02Vq5cCTgd1WbOnEnjxo1zdDxJ5yqcVbCN8ZAStvdb55R9JRVC33zzDe+9956vPGrUKCS9jBXCVJWePXvy8ccf+5ZNmDAhxz8+rruhFe99fYLExGTfsl37TrBmayQXXHBBruM1xuSMjYiWmtW0CxlVpV+/fr5yhw4daNiwoYcR5czo0aOZNGmSr/zYY4/lqk2+Zs2a3PDvB7j32fE0bxDNkRPw+a/K4BGvEBkZmRchG2OyKyoGqWBt2v4saRcyc+bM4bvvvgMgJiaGp59+2uOIsm/BggU8/PDDvvKdd96ZJ7eqte9wF9de35Jvv/2WikWKMHVwE5u20xgPaWI8ybutTdufJe1CJDExkccee8xX7tOnDzVr1vQuoBz49ddf6dChA+pe+7ryyiuZPHlynl3er1ixIm3atMmTYxljcknDdwzxnLKkXYi8/fbbrF27FoDSpUszaNAgjyPKnh07dnDzzTdz9OhRAM4++2zmzp1rM3YZE8bU7tNOxZJ2IZGQkMATTzzhK/fr14+yZct6GFH2HD9+nLZt27J1q3OprFSpUixYsCBbg6cYYwoiS9r+LGkXEtOnT/fdy1y2bNlUM2CFOlWla9eufP/994Bza9esWbOsV7cxYU6iYoiocJbXYYQUS9qFQHx8PCNGjPCVH3nkEUqVKuVhRNnz4osv8vbbb/vKY8eOpUWLFh5GZIzJD5oYT9KubV6HEVKCep+2iLQQkf+JyHoRGZjO+uoi8oWI/Cwiq0SkVTDjKaymTp3Kpk2bAKhQoQIPPPCAtwFlw2effUb//v195bi4uAIVvzEml1Ry/siCiEwRkV0istpv2fMi8qebk+aKSBm/dYPcfPY/EWkepFecqaAlbRGJBF4GWgLnAx1E5Pw0mw0BZqvq/wG3AxMweerkyZM8+eSTvnL//v0pWbKkhxEFbuPGjbRv3943zWbjxo0ZN26cx1EZY/JNLgZWCXBwlalA2st2nwIXqmo9YC0wCMDNX7cDF7j7THDzXL4KZk27IbBeVTeoajwwE0g7XJUCKddpSwP/BDGeQmny5Mm+zluVKlWiR48eHkcUmKNHj9KuXTv27dsHwJlnnsm7775rU2UaU4gogmrOH1keX3UZsC/Nsk9UNdEtrgCquc/bAjNV9aSqbgTW4+S5fBXMNu2qgP9d8duAy9NsMwz4RER6AcWB69M7kIjEAXEA1avb6DiBOn78eKrBUwYOHEjx4sU9jCgwqsq9997LqlWrAGcQmPfee48qVap4HJkxJj9JVDSRFatlvWHGKojISr/yRFWdmI397wFmuc+r4iTxFNvcZfkqmEk7vZ85aS9YdACmquoLInIFMF1ELlTV5FQ7OW/yRIAGDRqE6YiyeW/ixIn8849z8aJy5cp0797d44gC88ILLzBr1ixf+eWXX6ZRo0YeRmSM8YImJpC06+/cHGKPqjbIyY4i8iiQCMxIWZTOZvmej4KZtLcB/n31q3H65e97cdsTVPVbESkCVAB2BTGuQuHkyZM899xzvvLgwYMLxJCcy5YtY+DAU30Wu3fvTteuXT2MyBjjJfVgRDQR6QzcBFyn6msdDySnBV0w27R/AGqLyNkiEoPTgD8/zTZbgOsARKQuUATYHcSYCo3p06enqmV369bN44iytnPnTm6//XaSkpIAuOKKKxg7dqzHURljPKMEtU07PSLSAhgAtFHVY36r5gO3i0isiJwN1Aa+z/VrzKag1bRVNVFEHgAWA5HAFFX9XUSeAFaq6nygHzBJRPriXGbo4verxuRQUlJSqlr2Qw89RJEiRTyMKGtJSUl06NCB7du3A86tabNnz7aOZ8YUYhIdQ1Tu2rQzP77IO0AznLbvbcBQnN7iscCn7pwGK1S1u5u/ZgNrcC6b91TVpKAFl4GgDq6iqguBhWmWPe73fA1wZTBjKIzee+891q1bB0CZMmVyNWVlfhk6dChffPEFACLCjBkzqFYteP9ZjTGhTxPiScxdm3bmx1ftkM7i1zPZ/ingqaAFFAAbES3MqCrPPPOMr9yzZ8+QH/1s4cKFPPXUqf8HQ4cO5cYbb/QwImNMqLBrr6lZ0g4zn3zyCT///DMARYsWDfkxxjdv3kynTp185RtuuIEhQ4Z4GJExJpSkvpfIWNIOMyNHjvQ979q1a0jPgpWQkED79u19A6hUrVqVGTNmEBmZ74MMGWNCUYDDkRYmlrTDyLfffsuXX34JQFRUFP369fM4oswNGTKE7777DnDinT17dkj/yDDG5LPoaCIrWd8Wf5a0w4h/LfuOO+6gRo0aHkaTucWLF6fq4T5y5EgaN27sYUTGmFCjCQkk7gxeR7SCyJJ2mFi9ejULFizwlQcMGOBhNJnbsWMHd911l6/cokULHnroIQ8jMsaEqpzebx2uLGmHiWeffdb3vF27dpx/ftoJ1UJDcnIynTp1YtcuZ9C7ypUr8+abbxIREdRZYo0xBZUl7VQsaYeBv//+m5kzZ/rK/sOAhprnn3+ezz77DHDux54+fTqVKlXyOCpjTEhSb4YxDWWWtMPA+PHjSUx0ZpJr0qQJl1+edjK10LBixQoeffRRX3ngwIFcf326E7sZY4wzItoZ+T6RVkizpF3AHT16lNdee81X7tu3r4fRZOzgwYN06NAh1bjiw4cP9zgqY0wo04QEEnfk+5wcIc2SdgE3bdo09u/fD0CtWrVo06aNxxGlr3fv3mzatAmA0qVL8/bbbxMdHe1tUMaYkGcjoqVmSbsAS05OZsyYMb5y7969Q3JgktmzZzNt2jRf+bXXXqNmzZreBWSMKTDCtfe4iBzCmaPb/2eJ4OTlWFVNt3euJe0C7OOPP2bt2rUAlCpVinvuucfjiE63bds2unfv7it36tSJ9u3bexiRMabAiI4mqnJ4tmmraqpJIUSkBNATiAPez2g/S9oF2OjRo33Pu3btSsmSJT2M5nTJycl06dLFd/m+Ro0ajBs3zuOojDEFhSYkkLA9vNu0RaQs0AfoDMwALlPVfRltb0m7gFq1ahVLliwBICIigl69enkc0enGjBnjizHl9q7SpUt7HJUxpsBQwvY+bRGpBPQDbsOZDrSeqh7Oaj9L2gWUf1v2f/7zH8/biFUVd8J4wPlRMWjQIF954MCBNGnSxIvQjDEFWZgmbWADsBcnYR8H4vy/Q1X1hfR2sqRdAO3cuZMZM2b4yl7d5pWcnMzUSZP4eM5sJDmJUhUr0Wvwo9SpU4eOHTsSHx8PwKWXXsqwYcM8idEYU5BJ2HZEA57F6XgGUDzQnSxpF0CvvPKKLyE2bNiQK664wpM4Jo4fx+4vP2PMNY2IiYrkn4OHGPnQg5Q7ry6rV68GnDm933rrLWJiYjyJMRT99ttvfDB/GseOHeLKxjfRokWrkOz1b4zXJDqaqMpneh1GUKjqiJzsZ0m7gDl58iSvvPKKr9y3b99Ul6XzS0JCAp/Nm8v4G64i0h03/MzSpahfqigDX33Vt93zzz9PnTp18j2+UDV37iw+Xvwcd91TnJIlo1m8cARLPp/HqOcn2fjrxqThdETb7nUYQeG2aXcDauKXi1X17sz2s6RdwLz77ru+yTaqVq3Kf//7X0/iOHz4MGVjY3wJG+BYfAITln2LuqMhXH/99dx///2exBeKjh8/zjuzRvPq61WIiXHetx69izPqmdUsX76cq666yuMIjQk9YTy4ygfAl8BiIDnQnSxpFzATJkzwPe/evbtno4qVKVOGg8lwND6e4u6l76cWfc7mfQcA577x119/3WqPftatW8eF9SJ8CTtFk2bR/PjjUkvaxqSl4Tu4CiCqmu3ZnewbtQD55ZdfWL58OQDR0dF069bNs1giIiK4t08fRiz7nr927+Xz//3FpOXf+9aPGTOG6tWrexZfKCpXrhw7/kk6bfmO7UmULx+e7XbG5Fqy5PwR2j4XkXbZ3clq2gXIyy+/7Ht+yy23cMYZZ3gYDTRv1ZoKZ1Rm6oSXeWPmXN/ym266iS5dungXWIiqVq0aURG1+erLTTRpWg6AHdtPMH+u8srL2f6/a0z4i44mqkoVr6MIlgeA4iKSAMS7y0RVMx0ly5J2AbF///5Ut3n17NnTw2hOufTSS3ktMoqjx48DTm1y4sSJnnSOKwiefHICTz71MG9P+4USJSM5crgkjw6aSLly5bwOzZiQowkJJPyzw+swgiLtMKaBsqRdQEydOpXjbmK8+OKLady4sccRORYvXsykSZN85QkTJlAlfH8Z51qpUqV47tmJHD58mJMnT1K+fHn7gWNMhsL3Pm0RaZreclX9MrP9skzaIhIJtOb0bukvZi9Ek1PJycmpbvPq2bNnSHzRHzp0KFW7+q233mqTgQSoZMmSITdWvDEhJ7w7ovXzex4LXAasAppltlMgNe0FwAngN7LRLd3knc8++4x169YBzlzUd9xxh8cROQYOHMjWrVsBqFChQqo2d2OMyS2JiSb6zPC8cqeqbfzL7n3bWc6oFEjSrqaq9XIamMk9/2TYpUsXihcPeMS7oFm6dGmq2v+4ceOoWLGihxEZY8KNxicQ/3fw2rRFZApwE7BLVS90l5UDZuFcXd4E3Kaq+8W5vDkWaAUcA7qo6k95GM4B4OKsNgrklq+PReTG3MdjcmLz5s18+OGHvnKPHj08jMZx9OhR7r33Xl+5bdu2dlncGBMcKjl/ZG0q0CLNsoHAElWtDSxxywAtgdruIw54hVwQkc9F5Av38SXOBCJzs9ovkJr2CmCuiEQACTgDnGtOe76Z7Hn11VdJTnZaJW644Qb+9a9/eRwRDBkyhA0bNgDOICsTJkwIiTZ2Y0z40SA2yqrqMhGpmWZxW061K78JLAUGuMunqTPk4woRKSMiVVQ1p+OsPuz3PBa4EViX1U6BJO0XgCuA31TDeEC5EHTy5EkmT57sK4fCbV7Lly9n7NixvvLo0aM580wbGMQYk/fUm45oZ6QkYlXd7rY1A1QFtvptt81dlqOknc6l9W9F5Dvg7cz2CyRprwNWW8LOf/PmzWPPnj0AnHXWWdx0002exnPixAnuuece39jizZs3p3Pnzp7GZIwJXxEx0cRUrZybQ1QQkZV+5YmqOjGHx0rv10OO82KaW74igIuAIlntF0jS3g4sFZGPgZMpC+2Wr+CbOPHUZ6tbt26eT984YsQI/ve//wHOLUsTJ05kwtgxfP7h+xSJTT315pFEmLPgY5uS0xiTY8nxiZzctjM3h9ijqg2yuc/OlMveIlIF2OUu3wac5bddNeCfXMTmf8tXIk6ntyyHRgwkaW90HzHuw+SD9evX8/nnnwPOON93353pbG1Bt2rVKp577jlf+dlnn6V69epccXVTNn+9kMebX+Rb98vmnSw4VMYStjEm1zy4PD4f6Aw84/77gd/yB0RkJnA5cDAX7dmn3fIVqCyTtqoOz8mBTe74t2W3bt2aatWqeRZLUlIS3bp1IzExEYCrrrqK++67D4D69eszsWh5Nu05SM0KpQGY/svf9B/7hGfxGmPCRzCTtoi8g9PprIKIbAOG4iTr2SJyL7AFuNXdfCHO7V7rcW75ylVNyr3dLMMXl9G82oGMiFYR6A9cgN/1dlW9NvthmkDEx8fzxhtv+MpezuYFztCk33/vzOAVExPDxIkTU025Gde3P9OeHsDjzS/il807KVPrAs455xyvwjXGhJMg9qZS1Q4ZrLounW0VyMvewPuB84A5OMn7NmAz8GlmOwVyeXwGzo3mNwHdcS4X7M5NpCZzCxYsYNcupxmlatWqtGzZ0rNYtm7dyuDBg33lwYMHU7du3VTb+Ne2rZZtjMkrEh1NTLVcdUQLZZcBTf06eU8VkWWqen9mOwWStMur6usi0scdyPxL90ZwEyT+HdDuueceoqK8mddFVenRowdHjhwBoG7dugwcmP6c7XF9+zPiwa7UvOQKq2UbY/KExidwcmuuOqKFskpALeAvABE5112WqUCyQYL773YRaY3TW867BtYwt3HjRj791Lk6IiKpRh7Lb3PmzEk1GtukSZOIjY1Nd9v69etTu9G13NPd+xHbjDHhQQnrCUP6Al+IyEacl3oOztXsTAWStJ8UkdI43dPHAaXck5kgeP3111PdB12jRg1P4ti/fz+9e/f2le+//36uvPLKTPd58rlRwQ7LGFPIBHNENC+p6sdu7fo8nDbtP1U1Pqv9Mk3a7rSctVX1Q+AgcE1eBGvSl5iYyJQpU3zluLg4z2IZOHAgO3c6l6XOPPNMRo4c6VksxpjCKSI6mtgwbdN2JyDpDDTHqWl/IiKvq2b+MyXTpK2qSSLSBhidZ5GaDH300Uds3+7c9nfGGWd4NgLa8uXLU7Wrjx8/ntKlS3sSizGm8EpOSORE7gZXCWVPAucDE3CuYv+Mc7tZ/8x2CuTy+HIRGY/Tg/xoysI8npLMcHoHtOjo6HyPISEhwXcPNkCbNm3497//ne9xGGMMhHWb9s1AfVVNFJHjqvq0O/Z4pgJJ2o3df/3v41HA7tPOQ1u3bmXRokW+cteuXT2JY8yYMaxevRqAYsWKMW5clnOyG2NMcHgzYUh+EVVN9BVEYnBm+8pUICOiWTt2Ppg2bZpvCs7rrruOWrVq5XsMmzdvZtiwYb7y8OHDqV69er7HYYwxEPa9x3eJSG1VXYfTwfsb4OWsdgpkRLSH0ll8EPhRVX/JYt8WwFggEpisqs+ks81twDCcv8+vqnpHVjGFG1VNNQLaPffc40kMDzzwAMeOHQPgoosuok+fPvkehzHGpIiIiaZItTO8DiNY2gFJ7vP7gHWqujmrnQK5PN7AfSxwy62BH4DuIjJHVZ9Lbye35/nLwA04s6P8ICLzVXWN3za1gUHAlaq632/e0kLlq6++4q+//gKgdOnSnrQhz5s3L9U92a+99ponberGGJMiOT6B41t3Zb1hwVQfnPE4cMZDqSkiNd1BzDIU0IhoOI3lR9wTDAXeBa4GfgTSTdpAQ2C9qm5w95sJtAXW+G3TDXhZVfcDqGrY/nUy41/L7tChA0WLFs3X8x8+fJhevXr5ynFxcVxxxRX5GoMxxpxOIHwvj/tPzVkcJ2f+QBb9xQJJ2tUB/xu+E4AaqnpcRE5msA9AVWCrX3kbznRm/v4FICLf4FxCH6aqiyhEDh8+zJw5c3xlL6bgHDZsGH///TcAFStW5JlnTmvFMMaY/KegyeGZtNNOzSki1YEsB8QIJGm/DawQkQ9wRm25CXhHRIqTutacVnrvdNr5WqKA2jhTo1UDvhKRC1X1QKoDicQBcUDYdYyaM2cOR486d9JdcMEFXHbZZfl6/tWrVzN27Fhf+YUXXqBs2bL5GoMxxmQkjDuipaKqW0TkYhGJyGyAlUB6j48QkYXAVTiJuLuqrnRXd8xk123AWX7lajjjlqfdZoWqJgAbReR/OEn8hzQxTAQmAjRo0CCIE7XlP/9L43fffXdK+0a+UFV69uxJUpLTF6Jp06bceeed+XZ+Y4zJjMREUeSswtPVSVUvzGqbQKePSgSScWrKCVlsm+IHoLaInA38DdwOpO0ZPg/ogDMlWQWcy+UbAjx+gbdu3Tq+/vprACIjI/M9Yc6YMYNly5b5zv/yyy/n648GY4zJjMYncnyLzQTtLyKrDUSkD86c2hVwpg17S0R6Zb4XuDeNPwAsBv4AZqvq7yLyhDs0Ku66vSKyBvgCeERV9+bspRQ8U6dO9T1v1aoVZ5yRf7c2HDx4kIcffthXfvDBB7ngggvy7fzGGBMQzcUjDAVS074XuFxVjwKIyLPAtzhjpWZKVRcCC9Mse9zvuQIPuY9C5fjx44x76dRbuO2Pf5g5fSa3d7o9X87/+OOPp5oQZOjQoflyXmOMCZSG94hoiEhlnA7aCvygqtuz2ieQpC2cugEc93n4vov5pGe3nhw+chiA0tFl6FtlEHNGzaJm7Zo0atQoqOf+9ddfGT9+vK/84osvUrJkyaCe0xhjsisiNpoi1cOzTVtEbsfpLb4MJ2mPE5GBqvpOZvsFkrTfAL4TkbluuR3wem6CLeySk5NZuPBjX7lJ5WsoElWEpkWv5+2J7wQ1aScnJ9OzZ0/fkKnXXnstt912W9DOZ4wxOZV8MpHjm8O2TXswcKmq7gMQkXLAUiB3SVtVXxSRpZzqPX63qv6c22gLs927d7PrwKlxZK6pcj0AJaNLc2DfwaCee9q0aXzzzTcAREdHW+czY0xIC+fL4zhDgqc4kOFWfjJM2iJSSlUPudl/k/tIWVcu5deByb7333+flNvwzilZm7OK1wBg1aGfaHbn1UE778GDBxkwYKZi8j0AACAASURBVICv/NBDD1GnTp2gnc8YY3IrjJP2R8AiEUmpWXd0l2Uqs5r22zgDqfxI6n544pbzfxqqMDFt2jTf81qlz2XLkU1sSFjHvuq7eKpT8DqEDR8+nF27nBp+1apVGTJkSNDOZYwxuRbeI6INEpGbcAYXAxirqvOz2i/DpK2qN4lz3bSpqm7JmzDN2rVrWbFiBeBcnm7R6wYO7NrFDVdeQ6vWLYmJiQnKedesWZNqbuxRo0ZRokSJoJzLGGPygsRGUbRGRa/DCBpV/RDwzdQkIo+p6ojM9sm0TVtV1e2AdmnehGjeeust3/PWrVvzUP++QT+nqtK7d28SE5351ps2bUr79u2Dfl5jjMmN5JOJHNu0x+swgkJEPuf0O7EaiEhj4HVVfTe9/QLpPb5CRC5T1R+y3tRkJjk5menTp/vKnTp1ypfzzp07lyVLlgAQERHBSy+9ZJ3PjDEFgIRzm/bDacqK0yz9DPAKzmyapwkkaV8D3Ccim4GjuG3aqlov57EWTl9//TWbNm0CoGzZsrRu3Tro5zx27BgPPXRq7Jr777+fevXsT2eMKRjCNWmr6k9pl4nIfFX9UkQyHGQlkKTdMleRGR//Wvbtt99ObGxs0M/53HPPsXnzZgDKly/PE088EfRzGmNMXoiICX6btoj0Bbri1HR/A+4GqgAzgXLAT0AnVY3P8CB5RFUHuP9el9E2gdynvRlARCoBRfIsukLm+PHjzJ4921fOj0vjmzZt4tlnn/WVn376acqVKxf08xpjTF5Ijg9um7aIVAV6A+er6nERmY0zuVUrYLSqzhSRV3GG834laIFkQyAThrQRkXXARuBLnPu1P850J3OaBQsWcOjQIQDOPffcoA9VCtCvXz9OnDgBQP369bn33nuDfk5jjMkz7tjjOX0EKAooKiJRQDFgO3Atp9qU38QZCTQkBHJ5fATQCPhMVf9PRK7BmU7TZIP/vdmdOnUKekewL774gvfff99XHjduHJGRkUE9pzHG5CUluG3aqvq3iIwCtgDHgU9wxiY54M5UCbANqJrX5xaRGlnEtjm95YEk7QRV3SsiESISoapfuDN9mQDt3LmTRYsW+crBnjc7KSmJBx980Ffu2LEjjRs3Duo5jTEm7+W693gFEVnpV56oqhN9RxcpC7QFzsYZRnQO6ffjCsZEnws4NVjZucBffuc5F6fWf5pAkvYBESkBfAXMEJFdQGIW+xg/M2fOJCnJmSjtqquuolat4A4mN3nyZFatWgVAsWLFeOaZZ4J6PmOMCYaImCiK1aiQm0PsUdUGmay/HtioqrsBROR9oDFQRkSi3Np2NeCf3ASRHv87sETkJ1Wt71/OaL/Mxh4fjzPbSFucywYP4oyNWhqwLsjZ4H9p/K677grqufbv38+jjz7qKw8aNIhq1aoF9ZzGGBMMyfGJHN20N5in2AI0EpFiOHnuOmAl8AVwC04P8s7AB8EMAlARKaaqx0QkEshwaMzMatrrgFE4Xd9nAe+o6pt5G2f4+/333/npJ+dHU2xsLLfeemtQz/fEE0+wd6/zIa9Rowb9+vUL6vmMMSaYNBgXpn3H1u9E5F2c27oSgZ+BiTgTd8wUkSfdZcGejnoesFREluDU9JdltGFmY4+PBca6jeW3A2+ISBGcEVtmqeravI05PM2YMcP3vE2bNpQpUyZo5/rzzz8ZP368r/z8889TtGjRoJ3PGGOCSoObtAFUdSiQdqamDUDD4J45VQwjROR74CKcW83mZbRtoPdpPws8KyL/B0wB/r+9Ow+PqsgePv49SYCEncgqAQkGBFFc2ERwV0REwQEBRYdR3BAHRZFFlCUqAirqOzgz8JNx0BlgBBVQdkUYEWURGNkNCEgAIYZ9ydZd7x/3pukO2ejuS7o758PTT7pu3+VUCJxU3bpVowAdilwEt9vNtGnTPGWnB6A9//zznvnFb7jhBrp37+7o9ZRSykkGcEfojGgichHWLedjwL+BJcAKY8ypwo4rMmmLSBmgI1Zr+zasZ7VHBxpwabBy5UrPbGTVqlWjY8eOjl1r/vz5LFhgPT4vIgwfPpy9e/ees198fLyu7qWUCgtR5WKo0CCAgWgrgxeLA74A1gA1gZbAMKxu8tsLO6iwgWh3YD2PfTewGuuG/BNF/RagzvJuZd9///2OLbuZnZ3tM794nz59GPniYFrXvcTnefDdaYfo8FAv+j/7rCNxKKVUMLkzczi5y9GBaCUpxhjzrIhEAeuNMSdFpMj7p4W1tF/Cun89yBhzOFhRlhbZ2dk+05b27t3bsWtNmjSJ7du3A1C5cmXGjRvHlPf/RuIv+2lTtwFphw5x/Nhxhh/4id/2HeTkyZPa2lZKhYVIXTAE2CAit9hzn7jt7vIyRR1U4DSmxphbjDH/pwnbP4sXL/aM4q5Xrx7t27d35DpHjhxh5MizYyiGDx9OzZo16du/H7P37mDvnj3IiUx+PXqcdnWbU2vLCQY8+iTG6dEdSikVMP+nMA2DZN8O+FpEdgGNgR+AV4o6qDiTqyg/eI8af+CBB4iKKnKad7+8+uqrHD5s/V6VmJjIs3bXd82aNanbrCnrNu6iQ70mzN79M8+3f4j4uEqkpHzDunXraNGihSMxKaVUMESVjaFiYgD3tFcFLxYHeM+8lmGMOVScgzRpO+DkyZPMmXP2WfwHH3zQkeukpKT4POI1fvx4n+U+r72+LVPmLqZSmTga1UgkPq4SAJdEV2XXrl2atJVSIc2VmcOJXyLznrYx5ld/jnOm+VfKzZkzh9OnTwPQrFkzmjdvXsQR/hk8eDDZ2dmANT1qt27dfD5v1aoV2WXLMWXrBu65rJ1n+86cdBo3buxITEopFUzGLX6/QpmIHBeRE/bX3NcJ+7MVBR2nLW0HeHeN9+7d25EVvZYtW8bs2Wefv58wYcI512ncuDGXt2vN6Z/2UL5MObJc2Xy9dyPuhCpceeWVQY9JKaWCLQzuTfvFGFO5kM8KHASlSTvI0tLSWLx4saf8wAPBX8XU5XL5POL10EMP0apVq3z3/csHf+PjD6fy9udfgjHc0vlO3n3iMceXBlVKqWCI1KQtIjflt90Ys7yw4zRpB9knn3ziWdGrXbt2NGjQIOjX+Pjjj1m/fj0AcXFxjBkzpsB9y5YtS98nH6fvk48HPQ6llHJSVLkYKja8yP8TFLhWVkjwXhiiAta0qWuAWws7SJN2kHlPqOLEALRTp075rOI1aNAg6tWrF/TrKKVUSXNnuDixMzKfOjbG3OtdFpH6wBtFHadJO4h27drFypXWvHkxMTH06NEj6Nd4++232b/fWtq1Tp06DB48OOjXUEqpUGCI3O7xvIwxv4rIVSISZYxxF7SfJu0gmj59uud9hw4dqF49oMXbz3HgwAHGjx/vKb/22ms6s5lSKqJFatIWkQ7ARmPMARFphLXCV+vCEjboI19BNWPGDM97J7rGR44cyalT1tTvV155JX369An6NZRSKpRE8IxobwKH7fnGFwJ3Ap8Ufoi2tINm8+bNbNy4EbAGh3Xp0iWo59+0aRNTppxdh/2tt94iOlpXR1VKRa7ocjFUaljN/xP8FLxYHOA2xmSKSDfgE2PMMBFZX9RBmrSD5D//+Y/nfefOnYPebT148GDcbqvX5M4776RDhw5BPb9SSoUaV0YOx3ccKekwnJIlIl2AfljLcgIU2RLTpB0ExhifrvFevXoF9fxLlizxrJUdFRXFm2++GdTzK6VUqAqDbm5/9QNeBhYZY1aISCXg1aIO0qQdBOvXryclJQWASpUqcddddxVxRPG5XC4GDRrkKT/yyCM6m5lSqlQwCO4ITdrGmHXAH7zKJ4CZRR2nSTsIvFvZXbt2JS4uLmjn/vjjj/npJ+vGTPny5UlOTg7auZVSKpRFl4um0qXx/p9gS/BiCRWatAPkdrt97mcHs2v89OnTPhOpvPjii1x88cVBO79SSoUyV6Yrku9p+0WTdoB++OEHfv3VWmEtPj6e22+/PWjnfvfddz0TqdSuXdunm1wppUqDCL6n7RdN2gHy7hrv1q0bZcuWDcp509LSGDt2rKecnJysE6kopUoXo0k7L03aAXC5XHzyydln4YPZNf7aa69x4sQJAJo0acIjjzwStHMrpVQ4MBCxA9H8pUk7AMuXL+fgwYMA1KpVi5tuyneltfO2Y8cO/vrXv3rK48aNIyZG/6qUUqVLdLkYKidV9f8EPwcvllChmSAA3l3jPXr0CNoMZcOHDycnJweAG264gXvuuSco51VKqXDiyszhWMrRkg4jpGjS9lNWVhaffvqppxysrvHVq1f7dLmPHz8eEe0eUkqVRmExh/gFpUnbT1999RWHD1vrvNavX5/rrrsu4HMaY3yW2uzevXtQzquUUuFKk7YvR1f5EpGOIrJdRHaIyNBC9usuIkZEWjoZTzB5P5vds2dPoqIC/1bOmzeP5cuXA9Z63GPGjAn4nEopFa6MAXcAr+IQkaoiMktEtonIVhFpKyLxIrJERFLsrwGsWhJcjrW0RSQaeB+4A0gF1ojIXGPMljz7VQIGAKuciiXYMjMzmT17tqfco0ePgM+Zk5PDkCFDPOWnnnqKRo0aBXxepZQKV9Gx0VQJZCDaL8Xa6z1goTGmu4iUBcoDLwFfG2PG2g3OocCQwk5yoTjZPd4a2GGM+QVARGYAXTh3YrlXgfFA2MwcsnjxYo4fPw5Aw4YNadGiRcDn/Oijj9iyxfrWVKxYkVdeeSXgcyqlVDhzZbg4mnLMsfOLSGXgRuBPAMaYLM6uvnWzvdtUYBkhkrSd7B6vC+z1Kqfa2zxE5BqgnjHmy8JOJCJPiMhaEVmblpYW/EjPk/dAsR49egQ8UOzMmTOMGDHCUx48eDA1a9YM6JxKKRUJjBG/X0D13Nxhv57Ic/qGQBrwoYisF5EPRKQCUMsYc8C6vjkAhMx/yE62tPPLZJ67DCISBbyD/RtOYYwxk4HJAC1btizmnQpnZGRkMGfOHE85GF3jEydOZN++fYD1vPfzzz8f8DmVUircWZOrBHSK340xhY2VigGuBf5sjFklIu9hdYWHLCeTdipQz6ucAOz3KlcCrgCW2S3V2sBcEbnXGLPWwbgCsmjRIs9MZUlJSVx99dUBne/IkSM+A85GjhxJhQoVAjqnUkpFgphyMVRtFMA97T1F7pEKpBpjcsdUzcJK2gdFpI4x5oCI1AEO+R9EcDmZtNcAjUQkEdgH9AIezP3QGHMMqJ5bFpFlwKBQTtjg2zV+//33B9w1Pm7cOI4etSYPSEpK4rHHHgvofEopFSlyMl0c+dm5e9rGmN9EZK+IXGaM2Q7chjXuagvQBxhrf51TyGkuKMeStjEmR0SeARYB0cA/jDGbRSQZWGuMmevUtZ1y5swZ5s49G3agXeOpqam89957nvLrr79OmTJlAjqnUkpFjAuzYMifgX/bI8d/AR7BGu/1iYj0BX4F7nc6iOJydHIVY8x8YH6ebSMK2PdmJ2MJhkWLFnHy5EkAGjVqxFVXXRXQ+UaPHk1GRgYALVu2pHv37gHHqJRSkcQ4PIrJGLMByO++923OXtk/OiPaeQjmqPGtW7fyj3/8w1MeO3ZsUCZoUUqpSGEA4y7pKEKLJu1iCnbX+EsvvYTbbf00dujQgdtuC8lf6pRSqsTElIumauMABqLtL3qXcKNJu5gWLFjAqVOnALjsssu48sor/T7X999/7zOj2tixYwOOTymlIk1Oposj250biBaONGkXU7C6xo0xDBs2zFN+4IEHuOaaawKOTymlIo4Bty4Y4kOTdjGcPn2aL774wlMOpGt88eLFPouCvPrqqwHHp5RSkcrpgWjhRpN2McyfP5/Tp08D0KRJE5o1a+bXedxut08r+/HHH+fSSy8NSoxKKRVprBnRtKXtTZN2MQSra3zmzJmsX78egLi4OF0URCmlChETG021y6r4f4KQmccseDRpF+H06dPMmzfPU77/fv+esc/Ozubll1/2lJ977jnq1KkTcHxKKRWpcjJcHN6mA9G8adIuwsKFC4PSNf7hhx+yY8cOAKpVq8bgwYODFqNSSkUmuRAzooUVTdpFmDVrlud99+7d/eoaP336NKNHj/aUhwwZQtWqATx7qJRSpYAxAa/yFXE0aRciIyPDZ9S4v9OMTpw4kf37raf869Spw5///OegxKeUUpEsJjaa+EDuaa8MXiyhQpN2IfLONd68efPzPsfRo0d9Jk8ZOXIk5cuXD1qMSikVqXIyXKTrPW0fmrQLEYyu8TfffJMjR44A1tKbjz76aNDiU0qpSKePfPnSpF2AzMxMn7nG/ekaP3jwIO+++66nnJycrEtvKqXUedDJVXxp0i7AV199xfHjxwFITEz0a6rRMWPGeEaeN2/enJ49ewY1RqWUimQGTdp5adIugHfX+P3333/eXeN79uzh73//u6f8+uuv69KbSil1HmJio4lvEsBAtFXBiyVUaNLOR1ZWls8qXP50jY8ePZqsrCwArr/+eu6+++6gxaeUUqVBToaL37cdL+kwQoom7XwsXbqUo0ePAlC/fn1atmx5Xsdv27aNqVOnespjxow5p6U+a+YsJo37C5XiKvhsP5J5go8+nUa9evX8jF4ppSKE0e7xvDRp5yPQUeMjRozA7XYD0KFDB2666aZz9rnxphuZNmEKL9S/nyixus3TTh9hRtZ3JCQkBBC9UkpFBgO4SzqIEKM3WfPIzs7m888/95TPt2t83bp1zJw501N+/fXX892vZs2atLi9LesObfdsW5S2hn6DB/i9IIlSSkUag/j9ikTa0s5j+fLlHD58GICEhATatGlzXscPHz7c875bt26Fdq0//ueneOqrPlxb8zLSzxzjSJUs2t/Q3r/AlVIqwsTERlO9SWX/T7A6eLGECk3aeXh3jXfr1u28Rnz/97//ZeHChQBERUWRnJxc6P6e1vYP29mWsZd+r2srWymlcuVkuEjbqgPRvGn3uBeXy+XTNd6tW7diH2uM8WllP/zww1x++eVFHvf4n59iweHV2spWSql8uAN4RSJtaXtZsWIFhw5Zq6bXrl2bdu3aFfvYxYsXs2LFCgDKlCnDyJEji3VczZo16fzQH2jRtpW2spVSyotOrnIuTdpePvvsM8/7++67r9hd48YYXn75ZU/5scceIzExsdjXfXrgM8UPUimlSomY2GiqNw3gnvaa4MUSKjRp29xut0/SPp+u8dmzZ7N27VoAYmNjfRK4Ukop/+g97XNp0ratWbOG1NRUAOLj47nxxhuLdZzL5eKVV17xlPv378/FF1/sSIxKKVXauLV73IcORLN9+umnnvddunQp9mpcM2bMYPPmzQBUrFiRIUOGOBKfUkqVRiaAV3GISLSIrBeRL+1yooisEpEUEfmPiJQNaoUCpEkb6560P13j2dnZjBo1ylN+7rnnqFGjRrDDU0qpUil3RjSHR48/C2z1Ko8D3jHGNAKOAH0Dq0Vwafc48NNPP7Fz504AKlWqxO23316s46ZOncqOHTsAqFq1Ki+88IJjMSqlVGlTJjaamoEMRFtb+McikgDcDbwOPC/WIzy3Ag/au0wFRgF/8z+I4NKkjW/XeOfOnSlXrlyRx2RmZvpMnvLiiy9StWpVR+JTSqnSKDvDxcHABqJVFxHv1D3ZGDPZq/wuMBioZJcvAo4aY3LscipQN5AAgk2TNr5Ju7hd45MmTWLv3r2A9az1gAEDHIlNKaVKswAnSfndGJPvXNIi0hk4ZIz5UURuzt2cz64hNRSu1Cftbdu2sWXLFgDi4uLo2LFjkcecPn2aMWPGeMrDhg2jYsWKjsWolFKlkcOTq7QD7hWRTkAsUBmr5V1VRGLs1nYCsN+xCPxQ6pO29wC0u+66iwoVKhSyt+X999/n4MGDANStW5ennnrKsfiUUqq0Cvie9o8Ff2SMGQYMA7Bb2oOMMb1FZCbQHZgB9AHm+B9A8JX60ePeXeN/+MMfitz/xIkTjBs3zlN++eWXiY2NdSQ2pZQq7Zx+5CsfQ7AGpe3Ausc9xf9TBV+pbmnv3r2bdevWAdZ84Z07dy7ymPfee4/09HQAGjRowKOPPupojEopVVplZ7j47QLMiGaMWQYss9//ArR2/KJ+KtVJ27tr/I477qBKlSqF7n/kyBHeeustT3nEiBGULRtSz90rpVTEyH1OW51VqpP2+Y4anzBhAseOHQOgUaNGPPzww47FppRSSpN2XqU2aR84cICVK1cCEB0dzb333lvo/r///jvvvvuupzx69GhiYkrtt08ppRxXJjaa2g4NRAtXpTbrzJlzdkDgjTfeSPXq1Qvdf/z48Zw8eRKAZs2a0bNnT0fjU0qp0i47w8UBXeXLR6lN2t73s4saNf7bb78xceJETzk5ObnYa20rpZTyj97TPlepTNqHDx/mm2++8ZS7du1a6P5vvPEGZ86cAeCaa67hvvvuczQ+pZRSFhNaE5KVuFKZtL/88ktycqypZdu0aUNCQkKB+6ampvL3v//dU3711Vex5pRXSinlNE3Zvkpl0v78888974tqNY8ZM4asrCzASvCdOnVyNDallFIWHYh2rlKXtE+dOsXChQs95cKS9p49e/jggw88ZW1lK6XUhZOd4WK/DkTz4ehoKhHpKCLbRWSHiAzN5/PnRWSLiPwkIl+LyCVOxgOwcOFCMjIyALjiiito3Lhxgfu++uqrZGdnA9C+fftir7OtlFIqcIFMYRqp3eqOJW0RiQbeB+4CLgceEJHL8+y2HmhpjGkOzALGOxVPLu9R44W1snfu3Mk///lPT1lb2UopdeEZMX6/IpGT3eOtgR32PK6IyAygC7AldwdjzDde+/8APORgPGRlZfHll196yoU96pWcnIzL5QLglltu4eabb3YyNKWUUnlY97QLn166UGuDF0uocDJp1wX2epVTgTaF7N8XWJDfByLyBPAEQP369f0OaOnSpRw/bt0fSUxM5Kqrrsp3v23btvGvf/3LU05OTvb7mkoppfxj3dM+VtJhhBQn72nn15ecb3+FiDwEtATezO9zY8xkY0xLY0zLGjVq+B1Q3glVCuruTk5Oxu22Hunv0KED7du39/uaSiml/JM7uYq/r0jkZNJOBep5lROA/Xl3EpHbgeHAvcaYTKeCcblczJ4921Mu6H72pk2bmDFjhqf8++6T3NaqM+NefZvMTMfCU0oplQ8TwJ9I5GTSXgM0EpFEESkL9ALmeu8gItcAk7AS9iEHY2HlypWkpaUBULt2bdq2bZvvfqNHj8YY6y+7foXL6VrxFW5yP81P047yQv9zBsArpZRykLa0fTl2T9sYkyMizwCLgGjgH8aYzSKSDKw1xszF6g6vCMy0u6p/NcYUvtyWn7y7xrt27Zrv3OH/+9//mDVrlqfcqV4/RAQhmqYV2vPtmg/Zu3cv9erVO+dYpZRSwVUmNoqLA5lcRQeinR9jzHxgfp5tI7zeX5AHn40xPrOgFTRqfNSoUZ739Ss0o26FRj6fV3bXZt++fZq0lVLqAsjOcLFPB6L5KBUzoq1fv549e/YAULVq1Xwf31q3bp3PPe9La/k+Um6M4XDUbi699FJHY1VKKWXRVb7OVSrWl/RuZXfu3JkyZcqcs493K7tbt27UujKOLSe+JdudxemcE6w9NZtbul5HIKPXlVJKnR8j/r8iUaloaRe1QMiaNWv44osvABARRo0aRcOGDfnnBx+xYPZHxMaV40+PdqfLfY7cbldKKVUAd4SOAvdXxCftlJQUNm/eDEBsbCx33nnnOfuMHDnS875nz55cccUVADw94CmeHvDUhQlUKaWUjzKx0dQNZEa0NcGLJVREfNL2bmV36NCBChUq+Hz+/fffs2CBNRGbiDBixAiUUkqVvKwMF3t1IJqPUpW08+sa925lP/jggzRt2vSCxKWUUqpokTpJir8iOmkfOHCAH374AYDo6Gjuuecen89XrFjBkiVLAIiKitJWtlJKhRgdPe4ropP2nDlzPO9vvPFGLrroIp/PvVvZDz/8cKFrayullLqwysRGk6D3tH1EdNIurGt8+fLlLF26FLBa4a+88soFjU0ppVThrHvaR0s6jJASsc9pHz161JOUwZq61Jt3K7tPnz46aYpSSoUgt/j/KoqI1BORb0Rkq4hsFpFn7e3xIrJERFLsr9WcrmdxRWzSnjdvHjk5OQC0aNHCZ+rRb775huXLlwMQExPDyy+/XCIxKqWUKpzDq3zlAC8YY5oC1wH9ReRyYCjwtTGmEfC1XQ4JEds9XlDXuDHGp5X9pz/9icTExAsam1Iq9GRnZ5OamkpGRkZJhxKSYmNjSUhIyHdGSac4vcSmMeYAcMB+f0JEtgJ1gS7AzfZuU4FlwBDHAjkPEZm0z5w543n2GnyT9tKlS/n2228Bq5U9fPjwCx6fUir0pKamUqlSJRo0aIC96qCyGWNIT08nNTX1gjZyysbGkNC0qv8nWF38XUWkAXANsAqoZSd0jDEHRKSm/0EEV0Qm7SVLlnD69GkAGjdu7Hn22hjj81hX3759adCgQUmEqJQKMRkZGZqwCyAiXHTRRaSlpV3Q62Zl5PBrYAPRqouI9wKdk40xk/PuJCIVgU+B54wxx0P5ZyAik7b3al333Xef5x/hkiVLWLlyJQBlypThpZdeKpH4lFKhKZT/sy5pJfW9CXDu8d+NMS0L20FEymAl7H8bYz6zNx8UkTp2K7sOcCiQIIIp4gai5eTkMHfuXE85t2s8773sxx57jPr16/scO+uTz/jLO3895zXrk89QSqkL4fPPP0dE2LZtW5H7Xn/99fluX7hwIZdddhlJSUmMHTvWs33p0qVce+21XHHFFfTp08czWNcYw4ABA0hKSqJ58+asW7cuOJUJkAnwVRSxfhOZAmw1xkzw+mgu0Md+3weYk/fYkhJxSXvFihWkp6cDUKdOHVq1agXAokWLPLOjlS1bNt9W9n+/XsmCdzaxbtIps8Qk9QAAFIlJREFUz2vBO5tY/tV3F64CSqlSbfr06bRv354ZM2YUuW9uz6E3l8tF//79WbBgAVu2bGH69Ols2bIFt9tNnz59mDFjBps2beKSSy5h6tSpACxYsICUlBRSUlKYPHky/fr1C3q9/OUW4/erGNoBDwO3isgG+9UJGAvcISIpwB12OSREXPe4d9d4165diYqKOqeV/fjjj5OQkHDOsQOH9ueJ7wfToFwXz7bUsqsZOHScs0ErpcLO2rU/8tbESaT+doiE2jUZ9MyTtGzZIqBznjx5ku+++45vvvmGe++9l1GjRgEwYsQITw9iWloaHTp04MMPP6RixYqcPHnS5xyrV68mKSmJhg0bAtCrVy/mzJlDjRo1KFeunGfmxzvuuIM33niDvn37MmfOHP74xz8iIlx33XUcPXqUAwcOUKdOnYDqE6iysdHUa+LcQDRjzAqgoH7/2/y/sHMiKmkbY85J2mD9Frl6tfW3V65cOYYNG5bv8YmJiTRtewn7v03h4gqN2H8qhSbt63t++JVSCqyE/cSw14lv35tqLWrx++GDPDHsdSa/MTygxD179mw6duxI48aNiY+PZ926dVx77bUkJyeTnJzMsWPHuOGGG3jmmWcKPMe+fft85qVISEhg1apVVK9enezsbNauXUvLli2ZNWsWe/fuLfCYffv2lXjSzspwsWebzojmLaK6xzds2MCePXsAqFKlCjfffPM5rewnn3ySunXrFniOgUP780uMNfHKzphlDBza39mglVJh562Jk4hv35u4+FoAxMXXIr59b96aOCmg806fPp1evXoBVgt5+vTpns+MMfTu3ZuBAwfSokXBvxgYc263sIggIsyYMYOBAwfSunVrKlWqRExMTKHHlDTr3rSjk6uEnYhqaXu3su+++27Kli3LvHnzWLvWGvEfGxvLkCGFPx+f29r+cfECmt5xibaylVLnSP3tENVa1PLZFhdfi9Tv/X8kKj09naVLl7Jp0yZEBJfLhYgwfvx4RIRRo0aRkJDAI488Uuh5EhISPC1osJ4/v/jiiwFo27atZ56KxYsX8/PPPxd5TMkygY4ejzgRlbTzzoJmjPHcEwKrlV2cH8SBQ/tzz9I/8O7QT50IUykV5hJq1+T3wwc9LW2AM4cPklC7ht/nnDVrFn/84x+ZNOlsa/2mm25ixYoVHDt2jCVLlrBs2bIiz9OqVStSUlLYtWsXdevWZcaMGUybNg2AQ4cOUbNmTTIzMxk3bpxncql7772XiRMn0qtXL1atWkWVKlVKvGscrMlV6jt4TzscRUzS3rlzJxs3bgSs+9YdO3Y871Z2rsTEROZ/PeecR8KUUgpg0DNPeu5px8XX4szhgxxe8W/GvuH/DIvTp09n6FDfKa67devGtGnT2LZtG/v376d169aAlWSTk5PzPU9MTAwTJ07kzjvvxOVy8eijj9KsWTMA3nzzTb788kvcbjf9+vXj1ltvBaBTp07Mnz+fpKQkypcvz4cffuh3PYIpKyOH3XpP24fkdy8jlLVs2dLkJmJvEyZM4IUXXgCgc+fOzJ07l1atWvHjjz8C8Nxzz/HOO+9c0FiVUuFj69atntkTi+Ps6PE0EmrXCMro8VCX3/dIRH4sagITf1WKbmBaVBxR9I4FWH68r2OxlZSIaWl7d4137dqVL774wpOwz6eVrZRSxdGyZQtm/POcGTFVkEXqgDJ/RUTSPnToEN99Z02AEhUVRefOnbnrrrs8n/fr14/atWuXVHhKKaX85C7pAEJMRCTtL774wvPIQrt27fjhhx9Yv349AHFxcdrKVkqpMFQ2LpoGAazytWJVEIMJERGRtL27xrt06eIzYvzpp5+mVq1a+RyllFIqlGVmuPhl25GSDiOkhH3SPnHiBF999ZWnXKFCBTZs2ABYrewXX3yxpEJTSikVIL2j7Svsk/bChQvJzMwEoHnz5j7POGorWymlwptOruIr7Kcx9Z4F7dJLL/VpZQ8ePLikwlJKKb84uTTnrl27aNOmDY0aNaJnz55kZWUBkJmZSc+ePUlKSqJNmzbs3r07KHUJVCBTmEbqqPOwTtpZWVnMmzfPU14wb7Hn/UMPPUTNmjVLIiyllPKbU0tzAgwZMoSBAweSkpJCtWrVmDJlCgBTpkyhWrVq7Nixg4EDB4bM4N1ysTE0aFLV71ckCuvu8WXLlnHs2DEAykRXICPrFABRUWXZtGE3WVlZlC1btiRDVEpFoD6P9yNlz36ioqM929wuF40uuZip//c3v8/r5NKcTZs2ZenSpZ4pTfv06cOoUaPo168fc+bM8Vyre/fuPPPMMxhjSnzRkMyMHB2IlkdYt7S9u8ZFzlbl0lod4HQiy5cvL4mwlFIR7obrr8OdcA3VOj3vebkTruaG668L6Lz5Lc0JkJyczIYNG1i+fDkXXXTReS/NuW/fPtLT06latapnZa/c7XmPiYmJoUqVKqSnpwdUl2Bx24uG+POKRGGbtN1uN3PmzPGUs3JOABAdVY5GdTrjzqpEWtrvJRWeUiqC9e7VA9m7Dle2NQjWlZWJ7F1P7149Ajqvk0tzFrb8ZigvzalJ21fYdo+vXbuW/fv3n7O9fNk6bNz9GWdce5k18zc6dryT+Pj4EohQKRWp4uLi6PtgNz749ltqXHM7hzf/l8ce7EZcXJzf53R6ac7q1atz9OhRcnJyiImJ8Vl+M/eYhIQEcnJyOHbsWEj8v1kuNprEJtX8Pn6DTq4SOry7xnMJZagcfT/uzCiqVWxO2qHNVKlSpQSiU0pFut69ejBlWk+yL2tjt7KHFn1QIZxemlNEuOWWW5g1axa9evVi6tSpdOnSBbBWDZs6dSpt27Zl1qxZ3HrrrSHR0s7McLFz2+GSDiOkhG33eH5Ju0r5q6lcuRqXNLiEyjUO8+KQfkR7DRRRSqlgyW1t//zZO/QNsJUNVtf4fffd57Mtd2nOt99+27M059VXX82IEQWvfOW9NGfTpk3p0aOHZ2nOcePGMWHCBJKSkkhPT6dv374A9O3bl/T0dJKSkpgwYYLPY2IlyQBu8f8VicKypb19+3a2bt3qsy02Npb6DepQp3I9snNOUSbuEHff3amEIlRKlQa9e/Xg+x9+CPheNpBvK3rAgAGFHpN35HiuTp060anTuf//NWzYkNWrV5+zPTY2lpkzZxYv0Asqcu9N+yssk3Z+rewBAwawM+U3Du06yJmcLbzyyhPaylZKOSouLo4pk/x/xEsVTZO2r4hI2hUqVGDQoEHs3buXRx4aSbXqaCtbKaXCXNnYGBoGMBBt2w9BDCZEhF3Szs7O5scff/TZ9swzz1CjRg1q1KjB5c1r8GDvP2grWymlwlxmRg4pOhDNR9gl7aNHj/qUK1SowAsvvOApf/yvyZ7JA5RS6nyEwixgoSq/Z7kvBO0e9xV2o8fzJu3cVnYuTdhKKX/ExsaSnp5eYskplBljSE9PJzY29sJeF51cJa+wy3DHjx/3vI+Li2PQoEElGI1SKlIkJCSQmppKWlpaSYcSkmJjY0lISLjAVzW4xH2BrxnaHE3aItIReA+IBj4wxozN83k54COgBZAO9DTG7C7u+c+cyaJ69erBC1gpVWqVKVOGxMTEkg5DeSkXG0NSE/9nZvv1+6L3KSpPhRrHkraIRAPvA3cAqcAaEZlrjNnitVtf4IgxJklEegHjgJ7FvAJEaPeHUkopyMjI4edtzi1cUsw8FVKcvKfdGthhjPnFGJMFzAC65NmnCzDVfj8LuE2KPQqkDKDdJkopFclcGL9fxVCcPBVSnOwerwvs9SqnAm0K2scYkyMix4CLgGIsz5WN4P/ze0oppUJbudgYGjW9yO/jD6wscpfi5KmQ4mTSzq/FnPdXn+Lsg4g8ATxhFzOBTWAwHAn3xzOqU6xfUMKC1iU0aV1CUyTV5TKnTnzy1O5F/135SCADl2JFZK1XebIxZrJXuVg5KJQ4mbRTgXpe5QQg71qaufukikgMUAU450l6+5s8GUBE1hpjWjoS8QWmdQlNWpfQpHUJTXmSYlAZYzo6dW5bcfJUSHHynvYaoJGIJIpIWaAXMDfPPnOBPvb77sBSow9JKqWUujCKk6dCimMtbfse9TPAIqyh9P8wxmwWkWRgrTFmLjAF+FhEdmC1sHs5FY9SSinlraA8VcJhFcrR57SNMfOB+Xm2jfB6nwHcf56nnVz0LmFD6xKatC6hSesSmsK6LvnlqVAm2hutlFJKhYewm3tcKaWUKq3CKmmLSEcR2S4iO0RkaEnHUxQR+YeIHBKRTV7b4kVkiYik2F+r2dtFRP6fXbefROTakov8XCJST0S+EZGtIrJZRJ61t4ddfUQkVkRWi8j/7LqMtrcnisgquy7/sQemICLl7PIO+/MGJRl/XiISLSLrReRLuxyW9QAQkd0islFENuSOSg7HnzEAEakqIrNEZJv976ZtONZFRC6z/z5yX8dF5LlwrEskCJukLWenm7sLuBx4QEQuL9moivRPIO8jC0OBr40xjYCv7TJY9Wpkv54A/naBYiyuHOAFY0xT4Dqgv/39D8f6ZAK3GmOuAq4GOorIdVjT6L5j1+UI1jS74DXdLvCOvV8oeRbY6lUO13rkusUYc7XXI1Hh+DMG1nzWC40xTYCrsP6Owq4uxpjt9t/H1VjrRJwGPicM6xIRjDFh8QLaAou8ysOAYSUdVzHibgBs8ipvB+rY7+sA2+33k4AH8tsvFF/AHKz5esO6PkB5YB3WLEi/AzF5f96wRpa2td/H2PtJScdux5OA9R/mrcCXWJNFhF09vOqzG6ieZ1vY/YwBlYFdeb+/4ViXPPF3AL6LhLqE6ytsWtrkP91c3RKKJRC1jDEHAOyvNe3tYVM/u1v1GmAVYVofu0t5A3AIWALsBI4aY3LsXbzj9ZluF8idbjcUvAsM5uxE/BcRnvXIZYDFIvKjWDMhQnj+jDUE0oAP7VsXH4hIBcKzLt56AdPt9+Fel7AUTkk77KabO09hUT8RqQh8CjxnjDle2K75bAuZ+hhjXMbq7kvAWjSgaX672V9Dsi4i0hk4ZIz50XtzPruGdD3yaGeMuRari7W/iNxYyL6hXJ8Y4Frgb8aYa4BTnO0+zk8o1wUAe2zEvcDMonbNZ1tI1SWchVPSDrvp5gpwUETqANhfD9nbQ75+IlIGK2H/2xjzmb05bOsDYIw5CizDuk9fVazpdME3Xk9dpJDpdktAO+BeEdmNtTrRrVgt73Crh4cxZr/99RDWfdPWhOfPWCqQaoxZZZdnYSXxcKxLrruAdcaYg3Y5nOsStsIpaYfddHMF8J66tQ/WveHc7X+0R15eBxzL7XoKBSIiWDPYbTXGTPD6KOzqIyI1RKSq/T4OuB1rkNA3WNPpwrl1Cbnpdo0xw4wxCcaYBlj/HpYaY3oTZvXIJSIVRKRS7nus+6ebCMOfMWPMb8BeEcldTOM2YAthWBcvD3C2axzCuy7hq6Rvqp/PC+gE/Ix1/3F4ScdTjHinAweAbKzfPvti3UP8Gkixv8bb+wrW6PidwEagZUnHn6cu7bG6uH4CNtivTuFYH6A5sN6uyyZghL29IbAa2IHVBVjO3h5rl3fYnzcs6TrkU6ebgS/DuR523P+zX5tz/42H48+YHd/VwFr752w2UC2M61IeSAeqeG0Ly7qE+0tnRFNKKaXCRDh1jyullFKlmiZtpZRSKkxo0lZKKaXChCZtpZRSKkxo0lZKKaXChCZtFXFE5KQD58xdfWqjiGwRkddEpJz92cUiMquQY6uKyNPBjqm47Odll4pI5fM4prPYq58ppUKHJm2liu8WY8yVWLN0NQQmgzWLlzGmeyHHVQVKLGljPU//P1P4tLN5zcOaba28QzEppfygSVuVCiJyj1hrSK8Xka9EpJa9vYa9FvA6EZkkIntEpHph5zLGnASeArraawo3EHvNdBFpJtZa3RvstYQbAWOBS+1tb4pIRRH52r7mRhHpYh/bQKx1l/9PrHW+F9sztiEiSXbc/7OPu9Te/qKIrLGvVVDLuDf2bFX2NbbZC1hsEpF/i8jtIvKdWOsit7braLCmd+0c0DdeKRVUmrRVabECuM5YizfMwFoZC2Ak1nSe12LNdV2/OCezW627sNYM9vYU8J6xFiNpiTUT3lBgp7HWJH4RyADus695C/C2PU0s9vneN8Y0A44C3ezt/7a3XwVcDxwQkQ72/q2xZt9qIfkvsNEO8F5UJAlrrefmQBPgQawZ7wYBL3nttxa4oTjfD6XUhRFT9C5KRYQE4D/2wgZlsRIuWMnqPgBjzEIROXIe58xvNaPvgeEikgB8ZoxJOZuPfY4bYydYN9ayhbXsz3YZYzbY738EGtjzcdc1xnxux5kBYCftDlhTsgJUxEri/81zvXhjzAmv8i5jzEb7HJuBr40xRkQ2Yq3/nusQcHER3wOl1AWkLW1VWvwFmGjfk34Sax5uyD/xFslOpA2w5sL3MMZMw1q+8AywSERuzefw3kANoIXdIj/oFU+m134urF+sC4pRgDfsFvzVxpgkY8yUfPbLERHvf+ve13B7ld34/iIfa9dDKRUiNGmr0qIKsM9+38dr+wqgB3hartWKOpFYa4r/FZhtjDmS57OGwC/GmP+HtdpRc+AEUClPLIeMMdkicgtwSWHXs7viU0Wkq32NcvYAsUXAo3Y8iEhdEamZzym2Yw2cO1+NsRZUUUqFCE3aKhKVF5FUr9fzwChgpoh8C/zute9ooIOIrMNaL/gAVpLNzzf2gLPVwK9YLfa8egKbRGQD1v3ij4wx6cB39sCvN7HuT7cUkbVYre5txajTw8AAEfkJWAnUNsYsBqYB39td27Pw/eUg1zysVcDO1y32sUqpEKGrfKlSzX7W2mWMyRGRtsDf7C7riGHfx//IGHPHeRxTC5hmjLnNuciUUudLB6Kp0q4+8Il9zzcLeLyE4wk6Y8wB+zGyyufxrHZ94AUn41JKnT9taSullFJhQu9pK6WUUmFCk7ZSSikVJjRpK6WUUmFCk7ZSSikVJjRpK6WUUmFCk7ZSSikVJv4/T7RryHyTphEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2186a01fe48>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lags = np.array([lag_090,lag_000,lag_090_mod,lag_000_mod])\n",
    "gammas = np.array([gamma_090,gamma_000,gamma_090_mod,gamma_000_mod])\n",
    "npairs = np.array([npair_090,npair_000])\n",
    "vtypes = [0,0,1,1]\n",
    "names = ['Azi 090','Azi 000','Model','Model']\n",
    "vargplts(lags,gammas,npairs,vtypes,names,0,700,0,1.2,1,\"Anisotropic Porosity Variogram: Experimental and Model\",cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### More Exercises\n",
    "\n",
    "There are so many more exercises and tests that one could attempt to gain experience with spatial continuity modeling in Python. I'll end here for brevity, but I invite you to continue. Consider, on your own apply other data sets or attempting calculating variograms in different directions and fitting with different models.  I hope you found this tutorial useful. I'm always happy to discuss geostatistics, statistical modeling, uncertainty modeling and machine learning,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "On twitter I'm the @GeostatsGuy.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
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